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feat: add cohere blog route #17015

Merged
merged 2 commits into from
Oct 7, 2024
Merged

feat: add cohere blog route #17015

merged 2 commits into from
Oct 7, 2024

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Loongphy
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@Loongphy Loongphy commented Oct 6, 2024

Involved Issue / 该 PR 相关 Issue

Close #

Example for the Proposed Route(s) / 路由地址示例

/cohere/blog

New RSS Route Checklist / 新 RSS 路由检查表

  • New Route / 新的路由
  • Anti-bot or rate limit / 反爬/频率限制
    • If yes, do your code reflect this sign? / 如果有, 是否有对应的措施?
  • Date and time / 日期和时间
    • Parsed / 可以解析
    • Correct time zone / 时区正确
  • New package added / 添加了新的包
  • Puppeteer

Note / 说明

The blog is hosted on Ghost, allowing us to fetch content via their API. However, the current API key is subject to change.

Trade-offs:

  • Current method: More data, but relies on a potentially unstable API key
  • Alternative: Limited data, but more stable implementation

@github-actions github-actions bot added Route Auto: Route Test Complete Auto route test has finished on given PR labels Oct 6, 2024
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github-actions bot commented Oct 6, 2024

Successfully generated as following:

http://localhost:1200/cohere/blog - Success ✔️
<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
  <channel>
    <title>The Cohere Blog</title>
    <link>https://cohere.com/blog</link>
    <atom:link href="http://localhost:1200/cohere/blog" rel="self" type="application/rss+xml"></atom:link>
    <description>The Cohere Blog - Powered by RSSHub</description>
    <generator>RSSHub</generator>
    <webMaster>contact@rsshub.app (RSSHub)</webMaster>
    <language>en</language>
    <lastBuildDate>Sun, 06 Oct 2024 18:11:35 GMT</lastBuildDate>
    <ttl>5</ttl>
    <item>
      <title>Updates to Command R Fine-tuning</title>
      <description>Fine-tune the updated Command R 08-2024 with support for newer options giving you more control and visibility including a seamless integration with Weights &amp;amp; Biases.</description>
      <link>https://cohere.com/blog/fine-tuning-command0824</link>
      <guid isPermaLink="false">https://cohere.com/blog/fine-tuning-command0824</guid>
      <pubDate>Thu, 03 Oct 2024 16:54:49 GMT</pubDate>
      <author>Niyati Parameswaran, Hemant Jain, Ye Shen</author>
      <category>Product</category>
    </item>
    <item>
      <title>Introducing Cohere’s Updated APIs</title>
      <description>Cohere’s latest APIs offer new features and improvements for developers.</description>
      <link>https://cohere.com/blog/new-api-v2</link>
      <guid isPermaLink="false">https://cohere.com/blog/new-api-v2</guid>
      <pubDate>Fri, 27 Sep 2024 16:09:37 GMT</pubDate>
      <author>Michael Kozakov, Lucas Fayoux, Billy Trend</author>
      <category>Developers</category>
      <category>Product</category>
    </item>
    <item>
      <title>The Cohere AI App Is Now Available in Slack</title>
      <description>Automate daily tasks and get reliable, grounded answers with the new Cohere AI app, integrated directly into Slack.</description>
      <link>https://cohere.com/blog/slack-cohere-ai-app</link>
      <guid isPermaLink="false">https://cohere.com/blog/slack-cohere-ai-app</guid>
      <pubDate>Mon, 16 Sep 2024 12:50:08 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Aya - Powering a Global Language Revolution</title>
      <description>Cohere For AI celebrates six months of Aya&#39;s global impact, as it resonates with people and transforms the way they connect with AI.</description>
      <link>https://cohere.com/blog/aya-powering-a-global-language-revolution</link>
      <guid isPermaLink="false">https://cohere.com/blog/aya-powering-a-global-language-revolution</guid>
      <pubDate>Tue, 10 Sep 2024 16:20:45 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Empowering Exploration of the Next Frontier - Expedition Aya</title>
      <description>Celebrating the winners of Expedition Aya: Cohere For AI&#39;s six-week, global open-build challenge to connect researchers worldwide and support new multilingual research initiatives.</description>
      <link>https://cohere.com/blog/empowering-others-to-explore-the-next-frontier-expedition-aya</link>
      <guid isPermaLink="false">https://cohere.com/blog/empowering-others-to-explore-the-next-frontier-expedition-aya</guid>
      <pubDate>Tue, 10 Sep 2024 16:20:30 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere and NRI Collaborate to Launch New Financial AI Platform</title>
      <description>The NRI financial AI platform powered by Cohere’s enterprise-grade AI models will deliver real-world business value while prioritizing security and data privacy</description>
      <link>https://cohere.com/blog/nri-collaboration</link>
      <guid isPermaLink="false">https://cohere.com/blog/nri-collaboration</guid>
      <pubDate>Tue, 10 Sep 2024 13:04:43 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>For Business</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Updates to the Command R Series</title>
      <description>The latest versions of the Command R model series offer improvements across coding, math, reasoning, and latency.&amp;nbsp;</description>
      <link>https://cohere.com/blog/command-series-0824</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-series-0824</guid>
      <pubDate>Fri, 30 Aug 2024 13:55:06 GMT</pubDate>
      <author>Aidan Gomez</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Introducing Safety Modes</title>
      <description>Cohere Safety Modes provides enterprise customers with greater control over model guardrails.</description>
      <link>https://cohere.com/blog/intro-safety-modes</link>
      <guid isPermaLink="false">https://cohere.com/blog/intro-safety-modes</guid>
      <pubDate>Fri, 30 Aug 2024 13:49:40 GMT</pubDate>
      <author>Maximilian Mozes, Elaine Gao, Naomi White</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>How Enterprises Can Start Building Agentic AI</title>
      <description>Discover the seven essential resources and skills companies need to build AI agents and tap into the next frontier of generative AI.</description>
      <link>https://cohere.com/blog/how-enterprises-can-start-building-agentic-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-enterprises-can-start-building-agentic-ai</guid>
      <pubDate>Fri, 16 Aug 2024 09:03:16 GMT</pubDate>
      <author>Neel Gokhale, Matthew Koscak</author>
      <category>Developers</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Learn to Build Generative AI Applications with Cohere on AWS</title>
      <description>Explore&amp;nbsp; LLM University’s newest educational module featuring Amazon Bedrock and Amazon SageMaker.</description>
      <link>https://cohere.com/blog/co-aws-llmu</link>
      <guid isPermaLink="false">https://cohere.com/blog/co-aws-llmu</guid>
      <pubDate>Wed, 14 Aug 2024 15:50:40 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Developers</category>
    </item>
    <item>
      <title>How Generative AI Has Changed Security</title>
      <description>Ken Huang, Chief AI Officer at DistributedApps.AI, discusses how to make RAG systems secure with a systematic, principle-based approach.</description>
      <link>https://cohere.com/blog/how-generative-ai-has-changed-security-2</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-generative-ai-has-changed-security-2</guid>
      <pubDate>Mon, 12 Aug 2024 14:42:00 GMT</pubDate>
      <author>Ads Dawson, Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere For AI Scholars Program: Research Journeys Start Here</title>
      <description>Today, Cohere For AI is excited to open applications for the third cohort of our Scholars Program, designed to help change where, how, and by whom research is done.</description>
      <link>https://cohere.com/blog/cohere-for-ai-scholars-program-2025</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-for-ai-scholars-program-2025</guid>
      <pubDate>Sun, 11 Aug 2024 21:00:14 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Workflow Automation with AI: Insights from Atomicwork</title>
      <description>Discover how AI is transforming enterprise workflows by enhancing efficiency, reducing complexity, and improving service management. </description>
      <link>https://cohere.com/blog/workflow-automation-with-ai-insights-from-atomicwork</link>
      <guid isPermaLink="false">https://cohere.com/blog/workflow-automation-with-ai-insights-from-atomicwork</guid>
      <pubDate>Wed, 07 Aug 2024 11:55:44 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
      <category>Developers</category>
      <category>Past Events</category>
    </item>
    <item>
      <title>Straight Talk on AI Security with Exabeam’s Steve Wilson</title>
      <description>Exabeam’s Chief Product Officer Steve Wilson reveals the latest developments in AI cybersecurity.</description>
      <link>https://cohere.com/blog/straight-talk-on-ai-security-with-exabeams-steve-wilson</link>
      <guid isPermaLink="false">https://cohere.com/blog/straight-talk-on-ai-security-with-exabeams-steve-wilson</guid>
      <pubDate>Mon, 05 Aug 2024 09:57:12 GMT</pubDate>
      <author>Ads Dawson, Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Three Reasons Why Multilingual AI Is Essential</title>
      <description>Multilingual AI enables global communication and inclusivity by allowing technology to understand, process, and respond to diverse languages, breaking down language barriers in a connected world.</description>
      <link>https://cohere.com/blog/three-reasons-why-multilingual-ai-is-essential</link>
      <guid isPermaLink="false">https://cohere.com/blog/three-reasons-why-multilingual-ai-is-essential</guid>
      <pubDate>Wed, 31 Jul 2024 10:36:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Introducing Cohere Prompt Tuner: Prompt Optimization at Your Fingertips</title>
      <description>Automatically improve your prompts with Cohere’s new Prompt Tuner, available in beta today.</description>
      <link>https://cohere.com/blog/intro-prompt-tuner</link>
      <guid isPermaLink="false">https://cohere.com/blog/intro-prompt-tuner</guid>
      <pubDate>Tue, 30 Jul 2024 16:24:04 GMT</pubDate>
      <author>William Darling, Trushant Kalyanpur, Abel Essiane, Anna Bialas, Kyle Duffy, Olivia Lasche, Aalhad Patankar, Niyati Parameswaran</author>
      <category>Product</category>
    </item>
    <item>
      <title>Learn Workflow Automation with Our New LLM University Module on Tool Use</title>
      <description>Learn how to leverage the tool use capabilities of Command R+ to automate tasks and workflows.</description>
      <link>https://cohere.com/blog/tool-use-llmu</link>
      <guid isPermaLink="false">https://cohere.com/blog/tool-use-llmu</guid>
      <pubDate>Mon, 29 Jul 2024 15:36:17 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Developers</category>
    </item>
    <item>
      <title>Introducing Rerank 3 on Microsoft Azure AI</title>
      <description>We are thrilled to announce that Rerank 3 is now available on Microsoft Azure AI Studio. Rerank 3 is a foundation model that enhances existing search systems by reranking the initial search results to prioritize the most relevant documents.
        Accessing Cohere’s enterprise-ready language models on Azure AI’s robust infrastructure enables businesses to seamlessly, reliably, and safely incorporate cutting-edge semantic search technology into their applications. This integration allows users to lever</description>
      <link>https://cohere.com/blog/introducing-rerank-3-on-microsoft-azure-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/introducing-rerank-3-on-microsoft-azure-ai</guid>
      <pubDate>Thu, 25 Jul 2024 01:44:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Product</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Introducing Rerank 3 Nimble: Faster Reranking for Enterprise Search and Retrieval-Augmented Generation (RAG) Systems</title>
      <description>Today, Cohere is introducing Rerank 3 Nimble: the newest foundation model in our Cohere Rerank model series, built to enhance enterprise search and RAG systems, that is ~3x faster than Rerank 3 while maintaining a high level of accuracy.
        Functionally, reranking models take a query and a set of text documents as input. They assess each text document according to its relevance to the provided query and return a reordered list with the most relevant documents at the top. They’re used in search sys</description>
      <link>https://cohere.com/blog/rerank-3-nimble</link>
      <guid isPermaLink="false">https://cohere.com/blog/rerank-3-nimble</guid>
      <pubDate>Tue, 23 Jul 2024 15:58:24 GMT</pubDate>
      <author>Nils Reimers, Clifton Poth, Martin Hentschel, Rok Novosel, Elliott Choi</author>
      <category>Product</category>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Introducing Structured Outputs with JSON Response Format</title>
      <description>Structured Outputs improves accuracy of JSON generations and is 80x faster than open source implementations.</description>
      <link>https://cohere.com/blog/introducing-structured-outputs</link>
      <guid isPermaLink="false">https://cohere.com/blog/introducing-structured-outputs</guid>
      <pubDate>Fri, 19 Jul 2024 14:34:07 GMT</pubDate>
      <author>Ekagra Ranjan, Abdullah Elkady</author>
      <category>Product</category>
    </item>
    <item>
      <title>New Cohere Toolkit Features: Authentication, HTML and More</title>
      <description>At Cohere, we’re continuing to enable developers to accelerate generative AI application development. We’re expanding our open source Cohere Toolkit features, introducing HTML rendering, configurable authentication, and multi-step tool use.
        The toolkit is an open-source repository of production-ready applications that you can deploy across cloud providers. It contains the components required to build an end-to-end AI-powered assistant including source code for interfaces, models, and retrieval.</description>
      <link>https://cohere.com/blog/toolkit-features-july-2024</link>
      <guid isPermaLink="false">https://cohere.com/blog/toolkit-features-july-2024</guid>
      <pubDate>Tue, 16 Jul 2024 17:38:36 GMT</pubDate>
      <author>Beatrix De Wilde, Luisa Moura, Pia Leung, Jessica Wu, Tomeu Cabot</author>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere and Fujitsu Announce Strategic Partnership To Provide Japanese Enterprise AI Services</title>
      <description>Fujitsu and Cohere partner to develop Japanese AI models for global enterprises with secure and private deployment options. </description>
      <link>https://cohere.com/blog/fujitsu-partnership</link>
      <guid isPermaLink="false">https://cohere.com/blog/fujitsu-partnership</guid>
      <pubDate>Tue, 16 Jul 2024 03:01:45 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Building Robust Enterprise AI Solutions: Insights on LLM Performance, Safety, and Future Trends</title>
      <description>Enterprise AI requires a strategic approach to harness the power of LLMs while addressing economic and safety concerns.</description>
      <link>https://cohere.com/blog/building-robust-enterprise-ai-solutions-insights-on-llm-performance-safety-and-future-trends</link>
      <guid isPermaLink="false">https://cohere.com/blog/building-robust-enterprise-ai-solutions-insights-on-llm-performance-safety-and-future-trends</guid>
      <pubDate>Fri, 12 Jul 2024 11:58:24 GMT</pubDate>
      <author>Nick Jakobi</author>
      <category>For Business</category>
    </item>
    <item>
      <title>10 Ways C4AI Is Making an Impact, Two Years After Launching</title>
      <description>We’re celebrating our second year of Cohere For AI with 10 ways in which we have delighted in exploring the unknown. Here’s a look back on C4AI highlights on our second-year anniversary!</description>
      <link>https://cohere.com/blog/10-ways-c4ai-is-making-an-impact-two-years-after-launching</link>
      <guid isPermaLink="false">https://cohere.com/blog/10-ways-c4ai-is-making-an-impact-two-years-after-launching</guid>
      <pubDate>Thu, 11 Jul 2024 10:50:59 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Tackling AI Security Risks With Eyes Wide Open</title>
      <description>Cohere’s Staff Security Engineer Ads Dawson shares the latest best practices for GenAI security including red teaming tips.</description>
      <link>https://cohere.com/blog/tackling-ai-security-risks-with-eyes-wide-open</link>
      <guid isPermaLink="false">https://cohere.com/blog/tackling-ai-security-risks-with-eyes-wide-open</guid>
      <pubDate>Thu, 11 Jul 2024 10:12:41 GMT</pubDate>
      <author>Astrid Sandoval</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>The Perfect Productivity Match: Financial Services and GenAI</title>
      <description>Knowledge work and customer service are foundational to the financial sector — and prime targets for LLM solutions.</description>
      <link>https://cohere.com/blog/the-perfect-productivity-match-financial-services-and-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/the-perfect-productivity-match-financial-services-and-genai</guid>
      <pubDate>Fri, 28 Jun 2024 10:55:41 GMT</pubDate>
      <author>Robin Gainer, Sam Barnett, Itai Gerchikov</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Top 10 GenAI Automations Every Business Needs</title>
      <description>Unlock the transformative power of AI automation with large language models by identifying the right game-changing project for your business. </description>
      <link>https://cohere.com/blog/top-10-genai-automations-every-business-needs</link>
      <guid isPermaLink="false">https://cohere.com/blog/top-10-genai-automations-every-business-needs</guid>
      <pubDate>Thu, 27 Jun 2024 10:47:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Cohere’s Command R Model Series Is Now Available on OCI</title>
      <description>Cohere Command R is now available on the Oracle Cloud Infrastructure Generative AI service.</description>
      <link>https://cohere.com/blog/command-r-series-on-oci</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r-series-on-oci</guid>
      <pubDate>Thu, 20 Jun 2024 16:50:08 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Product</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Mastering Language Model Adoption: Five Key Areas for Enterprise Success</title>
      <description>Explore the nuanced journey of language model integration in enterprises. </description>
      <link>https://cohere.com/blog/mastering-language-model-adoption-five-key-areas-for-enterprise-success</link>
      <guid isPermaLink="false">https://cohere.com/blog/mastering-language-model-adoption-five-key-areas-for-enterprise-success</guid>
      <pubDate>Thu, 20 Jun 2024 09:21:04 GMT</pubDate>
      <author>Lewis Stott</author>
      <category>For Business</category>
    </item>
    <item>
      <title>GenAI Redefines Content Discovery and Personalization in Media and Entertainment</title>
      <description>Media and entertainment companies are tapping into the power of large language models to transform content search and discovery, and deliver a new level of personalization worldwide.</description>
      <link>https://cohere.com/blog/genai-redefines-content-discovery-and-personalization-in-media-and-entertainment</link>
      <guid isPermaLink="false">https://cohere.com/blog/genai-redefines-content-discovery-and-personalization-in-media-and-entertainment</guid>
      <pubDate>Mon, 17 Jun 2024 12:13:54 GMT</pubDate>
      <author>Mitchell Wong, Craig Meadow</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere Launches Startup Program to Empower Early-Stage AI Innovation</title>
      <description>Cohere&#39;s startup program helps early-stage companies reach their full potential by leveraging AI to scale their business and gain a competitive edge at an affordable cost.</description>
      <link>https://cohere.com/blog/cohere-launches-startup-program</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-launches-startup-program</guid>
      <pubDate>Thu, 06 Jun 2024 11:49:34 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>For Business</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Granting Access: Supporting Researchers to Use LLMs</title>
      <description>Cohere For AI’s research grants provide researchers around the world with subsidized and supported access to Cohere’s models.</description>
      <link>https://cohere.com/blog/granting-access</link>
      <guid isPermaLink="false">https://cohere.com/blog/granting-access</guid>
      <pubDate>Wed, 05 Jun 2024 09:00:00 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Unlock the Super Genius: Fine-tune Cohere Command R</title>
      <description>Learn how fine-tuning can unlock the benefits of foundational models like Cohere Command R for enterprise-grade workloads. </description>
      <link>https://cohere.com/blog/unlock-the-super-genius-fine-tune-command-r</link>
      <guid isPermaLink="false">https://cohere.com/blog/unlock-the-super-genius-fine-tune-command-r</guid>
      <pubDate>Thu, 30 May 2024 14:38:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Five Reasons Enterprises Are Choosing RAG</title>
      <description>Why leading technologists are choosing retrieval-augmented generation (RAG) systems for Enterprise AI
      </description>
      <link>https://cohere.com/blog/five-reasons-enterprises-are-choosing-rag</link>
      <guid isPermaLink="false">https://cohere.com/blog/five-reasons-enterprises-are-choosing-rag</guid>
      <pubDate>Fri, 24 May 2024 09:47:14 GMT</pubDate>
      <author>David Stewart, Maxime Voisin</author>
      <category>For Business</category>
    </item>
    <item>
      <title>C4AI Launches Aya 23, 8B and 35B Parameter Open Weights Release</title>
      <description>Cohere For AI announces Aya 23, a new family of state-of-the-art, multilingual, generative LLs) covering 23 languages. The 8 and 35-billion parameter Aya 23 models are part of our commitment to multilingual research.</description>
      <link>https://cohere.com/blog/aya23</link>
      <guid isPermaLink="false">https://cohere.com/blog/aya23</guid>
      <pubDate>Thu, 23 May 2024 00:18:43 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>An Inside Look at Building a RAG-Powered AI Agent for HR</title>
      <description>Borderless AI uses Command R with advanced RAG to power Alberni, the world’s first AI agent for human resources.
      </description>
      <link>https://cohere.com/blog/an-inside-look-at-building-a-rag-powered-ai-agent-for-hr</link>
      <guid isPermaLink="false">https://cohere.com/blog/an-inside-look-at-building-a-rag-powered-ai-agent-for-hr</guid>
      <pubDate>Wed, 22 May 2024 15:00:20 GMT</pubDate>
      <author>David Stewart</author>
      <category>For Business</category>
      <category>Developers</category>
      <category>Past Events</category>
    </item>
    <item>
      <title>Game On, Retailers: Elevate Your Customer Experience with GenAI</title>
      <description>From logistics to customer care, LLMs can fuel better shopping experiences and help retailers transform economic headwinds into tailwinds to achieve greater growth.</description>
      <link>https://cohere.com/blog/game-on-retailers-elevate-your-customer-experience-with-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/game-on-retailers-elevate-your-customer-experience-with-genai</guid>
      <pubDate>Fri, 17 May 2024 11:29:25 GMT</pubDate>
      <author>Sam Barnett, Robin Gainer, David Stewart</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Introducing Command R Fine-Tuning: Industry-Leading Performance at a Fraction of the Cost</title>
      <description>Command R fine-tuning offers superior performance on enterprise use cases and costs up to 15x less than the largest models on the market.</description>
      <link>https://cohere.com/blog/commandr-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/commandr-fine-tuning</guid>
      <pubDate>Thu, 09 May 2024 11:58:21 GMT</pubDate>
      <author>Niyati Parameswaran, Sudip Roy</author>
      <category>Product</category>
      <category>Newsroom</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Training Business Brains to Use GenAI</title>
      <description>Conor Grennan, Chief AI Architect at NYU Stern, reveals a human-centric vision for Enterprise AI
      </description>
      <link>https://cohere.com/blog/training-business-brains-to-use-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/training-business-brains-to-use-genai</guid>
      <pubDate>Tue, 07 May 2024 09:42:04 GMT</pubDate>
      <author>Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere Partners with MongoDB on New Program to Build Advanced Enterprise AI Applications</title>
      <description>Today, Cohere, the leading enterprise AI platform, will join MongoDB’s new AI Applications Program (MAAP) as part of its first cohort of partners. The MAAP program is designed to help organizations rapidly build and deploy modern generative AI applications at enterprise scale. Enterprises will be able to utilize MAAP to more easily and quickly leverage Cohere’s industry-leading AI technology, such as its highly performant and scalable Command R series of generative models, into their businesses.</description>
      <link>https://cohere.com/blog/cohere-partners-with-mongodb</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-partners-with-mongodb</guid>
      <pubDate>Wed, 01 May 2024 11:59:04 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>AI Agents Are Coming</title>
      <description>Explore our latest newsletter how AI systems can evolve agentic capabilities with advanced RAG and tool use.</description>
      <link>https://cohere.com/blog/ai-agents-are-coming</link>
      <guid isPermaLink="false">https://cohere.com/blog/ai-agents-are-coming</guid>
      <pubDate>Tue, 30 Apr 2024 15:33:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere’s Command R Model Family is Now Available In Amazon Bedrock</title>
      <description>Today, we’re excited to announce that our latest Command R model family is now available in Amazon Bedrock. We look forward to continuing our partnership with AWS to provide enterprise customers best-in-class AI solutions for their business needs to unlock powerful productivity and efficiency gains.&amp;nbsp;
        Command R and R+ are state-of-the-art large language models (LLMs) designed to tackle enterprise-grade workloads and enable businesses to move beyond proof-of-concept into production with AI. They </description>
      <link>https://cohere.com/blog/command-r-on-amazon-bedrock</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r-on-amazon-bedrock</guid>
      <pubDate>Mon, 29 Apr 2024 04:00:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
      <category>Product</category>
    </item>
    <item>
      <title>SaaS Is Readying for an Agentic Future</title>
      <description>LLM solutions with agentic capabilities offer exciting opportunities for SaaS innovation and differentiation.</description>
      <link>https://cohere.com/blog/saas-is-readying-for-an-agentic-future</link>
      <guid isPermaLink="false">https://cohere.com/blog/saas-is-readying-for-an-agentic-future</guid>
      <pubDate>Fri, 26 Apr 2024 11:47:43 GMT</pubDate>
      <author>Robin Gainer, Itai Gerchikov, David Stewart</author>
      <category>For Business</category>
    </item>
    <item>
      <title>New Cohere Toolkit Accelerates Generative AI Application Development</title>
      <description>Introducing the Cohere Toolkit, an open-source repository of production-ready applications deployable across cloud platforms</description>
      <link>https://cohere.com/blog/cohere-toolkit</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-toolkit</guid>
      <pubDate>Wed, 24 Apr 2024 19:16:42 GMT</pubDate>
      <author>Elaine Gao, Beatrix De Wilde</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>RAG Is Here to Stay: Four Reasons Why Large Context Windows Can&#39;t Replace It</title>
      <description>With the rise of supermassive context windows (1+ million tokens), there&#39;s an evolving narrative about it being a &quot;RAG Killer.&quot; Long context is great as it enables more use cases, but that doesn’t translate to the end of retrieval-augmented generation (RAG). In fact, it’s not an either/or decision for enterprise builders.&amp;nbsp;
        Larger context windows make everything better, including RAG. The downside is the added computational load of processing massive context windows, which leads to increasing co</description>
      <link>https://cohere.com/blog/rag-is-here-to-stay</link>
      <guid isPermaLink="false">https://cohere.com/blog/rag-is-here-to-stay</guid>
      <pubDate>Fri, 19 Apr 2024 14:48:25 GMT</pubDate>
      <author>Jay Alammar, Maxime Voisin, Sam Barnett</author>
      <category>Developers</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Automating Complex Business Workflows with Cohere: Multi-Step Tool Use in Action</title>
      <description>Enterprises are increasingly adopting AI to enhance business workflows. AI models, equipped with external tools, have the potential to streamline business operations.
        At Cohere, we’re excited to share that our latest generative models — Command R and R+ &amp;nbsp;— have been trained to interact with a variety of tools. You can explore these tools capabilities via our API and via Langchain. Whether you want AI to automatically take action in your own enterprise systems, analyze internal documents and dat</description>
      <link>https://cohere.com/blog/multi-step-tool-use</link>
      <guid isPermaLink="false">https://cohere.com/blog/multi-step-tool-use</guid>
      <pubDate>Tue, 16 Apr 2024 17:53:19 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere Compass Private Beta: A New Multi-Aspect Embedding Model</title>
      <description>Today, we are excited to announce the private beta for Cohere Compass, our new foundation embedding model that allows indexing and searching on multi-aspect data.
        Multi-aspect data can best be explained as data containing multiple concepts and relationships. This is common within enterprise data — emails, invoices, CVs, support tickets, log messages, and tabular data all contain substantial content with contextual relationships. Retrieval of this data is an ongoing challenge because 1) enterpri</description>
      <link>https://cohere.com/blog/compass-beta</link>
      <guid isPermaLink="false">https://cohere.com/blog/compass-beta</guid>
      <pubDate>Mon, 15 Apr 2024 13:30:58 GMT</pubDate>
      <author>Ben Eagan, Nils Reimers</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>How LLMs Can Boost Legal Productivity (with Accuracy and Privacy)</title>
      <description>Generative AI is increasingly being used by large law firms and legal tech providers. But accurate outputs and client privacy are must-haves that require the right tools and due diligence.</description>
      <link>https://cohere.com/blog/how-llms-can-boost-legal-productivity-with-accuracy-and-privacy</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-llms-can-boost-legal-productivity-with-accuracy-and-privacy</guid>
      <pubDate>Fri, 12 Apr 2024 13:28:59 GMT</pubDate>
      <author>Robin Gainer, Kosta Starostin</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Introducing Rerank 3: A New Foundation Model for Efficient Enterprise Search &amp; Retrieval</title>
      <description>Today, we&#39;re introducing our newest foundation model, Rerank 3, purpose built to enhance enterprise search and Retrieval Augmented Generation (RAG) systems.&amp;nbsp;
        Our model is compatible with any database or search index and can also be plugged into any legacy application with native search capabilities. With a single line of code, Rerank 3 can boost search performance or reduce the cost of running RAG applications with negligible impact to latency.
        Rerank 3 offers state-of-the-art capabilities for</description>
      <link>https://cohere.com/blog/rerank-3</link>
      <guid isPermaLink="false">https://cohere.com/blog/rerank-3</guid>
      <pubDate>Thu, 11 Apr 2024 13:30:43 GMT</pubDate>
      <author>Sylvie Shi, Nils Reimers</author>
      <category>Product</category>
      <category>Developers</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Introducing Command R+: A Scalable LLM Built for Business</title>
      <description>Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads, and is available first on Microsoft Azure.&amp;nbsp;</description>
      <link>https://cohere.com/blog/command-r-plus-microsoft-azure</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r-plus-microsoft-azure</guid>
      <pubDate>Thu, 04 Apr 2024 13:30:07 GMT</pubDate>
      <author>Aidan Gomez</author>
      <category>Newsroom</category>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere Embeddings Now Available Through Elastic’s Inference API</title>
      <description>With the release of Elasticsearch 8.13, developers can now access Cohere’s Embed v3 models in Elastic’s Inference API. This enables businesses to easily create embeddings for their data, index those embeddings in Elastic, and perform vector and hybrid search across their documents.
        Developers can use Elastic’s ingest pipelines to add Cohere embeddings to their indices for vector search with a single API call, and they can take advantage of Cohere’s native embedding compression to reduce storage</description>
      <link>https://cohere.com/blog/elastic-inference-api</link>
      <guid isPermaLink="false">https://cohere.com/blog/elastic-inference-api</guid>
      <pubDate>Thu, 28 Mar 2024 14:58:00 GMT</pubDate>
      <author>Jamie Linsdell, Elliott Choi</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Enterprise Search and Retrieval Demystified: A Guide for RAG Users</title>
      <description>Cohere customers&#39; most pressing questions about search and retrieval for RAG use cases answered.</description>
      <link>https://cohere.com/blog/commonly-asked-questions-about-search-from-coheres-enterprise-customers</link>
      <guid isPermaLink="false">https://cohere.com/blog/commonly-asked-questions-about-search-from-coheres-enterprise-customers</guid>
      <pubDate>Thu, 28 Mar 2024 10:22:03 GMT</pubDate>
      <author>David Stewart, Jamie Linsdell</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Advancing RAG with Command R to Solve Real Business Problems</title>
      <description>Explore our latest newsletter on what Enterprise AI really look likes. Hint: it starts with retrieval-augmented generation (RAG).</description>
      <link>https://cohere.com/blog/advancing-rag-with-command-r-to-solve-real-business-problems-2</link>
      <guid isPermaLink="false">https://cohere.com/blog/advancing-rag-with-command-r-to-solve-real-business-problems-2</guid>
      <pubDate>Tue, 26 Mar 2024 12:37:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Say Hello to Precision with AI Search</title>
      <description>Explore how the latest generation of language models is powering search and retrieval for AI applications.
      </description>
      <link>https://cohere.com/blog/say-hello-to-precision-how-rerankers-and-embeddings-boost-search</link>
      <guid isPermaLink="false">https://cohere.com/blog/say-hello-to-precision-how-rerankers-and-embeddings-boost-search</guid>
      <pubDate>Mon, 25 Mar 2024 11:16:21 GMT</pubDate>
      <author>David Stewart, Jamie Linsdell</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>How Insurers Can Unlock Their Data Vaults with AI</title>
      <description>Early adopters across the insurance sector are racing to gain a share of an expected $70 billion windfall from using generative AI.</description>
      <link>https://cohere.com/blog/how-insurers-can-unlock-their-data-vaults-with-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-insurers-can-unlock-their-data-vaults-with-ai</guid>
      <pubDate>Thu, 21 Mar 2024 10:42:43 GMT</pubDate>
      <author>Robin Gainer, Sam Barnett</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere’s Command R Enterprise Model Coming to ai.nvidia.com</title>
      <description>We’re proud to announce Cohere’s newly-launched RAG-optimized Command R model, designed for businesses to get into large-scale production, is coming to the recently launched NVIDIA API catalog.</description>
      <link>https://cohere.com/blog/cohere-launch-nvidia</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-launch-nvidia</guid>
      <pubDate>Mon, 18 Mar 2024 22:02:25 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere int8 &amp; binary Embeddings - Scale Your Vector Database to Large Datasets</title>
      <description>Cohere Embed now natively supports int8 and binary embeddings to reduce memory cost.</description>
      <link>https://cohere.com/blog/int8-binary-embeddings</link>
      <guid isPermaLink="false">https://cohere.com/blog/int8-binary-embeddings</guid>
      <pubDate>Mon, 18 Mar 2024 17:22:05 GMT</pubDate>
      <author>Nils Reimers</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Cohere Embed: New Features for More Efficient and Accurate Enterprise Search</title>
      <description>Cohere Embed now supports compressed embeddings and the asynchronous compute of embeddings on Cohere&#39;s servers.</description>
      <link>https://cohere.com/blog/embed-compression-embedjobs</link>
      <guid isPermaLink="false">https://cohere.com/blog/embed-compression-embedjobs</guid>
      <pubDate>Mon, 18 Mar 2024 17:20:43 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Introducing Tool Use With Command R: Seamlessly Automate Business Workflows</title>
      <description>Tool Use enables language models to interact with user-defined tools to automate highly sophisticated tasks.</description>
      <link>https://cohere.com/blog/tool-use-with-command-r</link>
      <guid isPermaLink="false">https://cohere.com/blog/tool-use-with-command-r</guid>
      <pubDate>Thu, 14 Mar 2024 18:43:27 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Command R: Retrieval-Augmented Generation at Production Scale</title>
      <description>Command R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprise.
        Today, we are introducing Command R, a new LLM aimed at large-scale production workloads. Command R targets the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production.
        Command R is a generative model optimized for long context tasks such as retrieval-augmented generation (RAG)</description>
      <link>https://cohere.com/blog/command-r</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r</guid>
      <pubDate>Mon, 11 Mar 2024 18:05:14 GMT</pubDate>
      <author>Aidan Gomez</author>
      <category>Product</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Architects of AI: Women Powering ML Ops</title>
      <description>Cohere celebrated International Women&#39;s Day with a webinar on March 7th, highlighting the remarkable contributions and achievements of women in tech, particularly those involved in machine learning operations (ML Ops).
        The webinar showcased the stories and achievements of five talented women from the Cohere team:
        * Autumn Moulder, Director of Infrastructure
        * Cécile Robert-Michon, Member of Technical Staff, Infrastructure
        * Ye Shen, Member of Technical Staff, Fine-tuning
        * Jessica Xie, Mem</description>
      <link>https://cohere.com/blog/women-powering-machine-learning-operations</link>
      <guid isPermaLink="false">https://cohere.com/blog/women-powering-machine-learning-operations</guid>
      <pubDate>Fri, 08 Mar 2024 16:20:55 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
      <category>Developers</category>
      <category>Past Events</category>
    </item>
    <item>
      <title>Cohere Recognized as AWS Generative AI Competency Partner</title>
      <description>Today, Cohere announced the company has achieved the Amazon Web Services (AWS) Generative AI Competency in the categories of Consulting Services, Generative AI applications, Foundational Models and App Development, and Infrastructure and Data. This specialization recognizes Cohere as an AWS Partner that helps customers and the AWS Partner Network (APN) drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies at scale.&amp;nbsp;
        This marks another s</description>
      <link>https://cohere.com/blog/cohere-aws-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-aws-genai</guid>
      <pubDate>Wed, 06 Mar 2024 19:02:31 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere and Accenture Collaborate to Accelerate Enterprise AI Adoption</title>
      <description>Today, Cohere is excited to collaborate with Accenture to bring our state-of-the-art Command and Embed models, and industry leading Retrieval Augmented Generation (RAG) capabilities to organizations, helping to scale the use of generative AI across the enterprise.&amp;nbsp;
        Lan Guan, Chief AI Officer at Accenture noted in her blog post on the business partnership: “Building on Accenture’s $3B investment in AI, we have teamed up with Cohere, a leading AI platform for enterprise, to accelerate how we can </description>
      <link>https://cohere.com/blog/cohere-accenture-collaborate</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-accenture-collaborate</guid>
      <pubDate>Mon, 04 Mar 2024 21:04:07 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Cohere Opens New York Office</title>
      <description>Today, Cohere, the leading AI platform for enterprise, opened its New York office. After building its New York team over the last few years in a remote capacity, the company officially launched a formal presence in the city.&amp;nbsp;
        Cohere’s New York office will serve as an important hub for its senior leadership team to connect with its many existing partners in the city, and support initiatives with prominent organizations like the enterprise AI hackathon held with the New York Stock Exchange (NYSE)</description>
      <link>https://cohere.com/blog/cohere-new-york-office</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-new-york-office</guid>
      <pubDate>Fri, 01 Mar 2024 13:59:44 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Harnessing AI Against Infectious Diseases: Insights from BlueDot&#39;s CEO</title>
      <description>This interview with BlueDot CEO Dr. Khan gives us a closer look at how BlueDot combines AI with vast amounts of data to alert us to health threats faster than ever before. </description>
      <link>https://cohere.com/blog/fighting-infectious-disease-with-ai-a-chat-with-bluedot-ceo</link>
      <guid isPermaLink="false">https://cohere.com/blog/fighting-infectious-disease-with-ai-a-chat-with-bluedot-ceo</guid>
      <pubDate>Fri, 01 Mar 2024 11:57:09 GMT</pubDate>
      <author>Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere Outlines Enhanced Intellectual Property Legal Protections for Customers</title>
      <description>Cohere has long been committed to protecting customer data, privacy, and safety to help enterprises use our AI with peace of mind. As part of this, Cohere is further outlining how we are providing companies additional protections in the area of intellectual property (IP) protection against infringement claims.
        While our commitment to protecting companies against third party claims began before today, we wanted to outline them clearly, and make sure that our customers understand where we stand a</description>
      <link>https://cohere.com/blog/cohere-intellectual-property</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-intellectual-property</guid>
      <pubDate>Thu, 29 Feb 2024 14:00:11 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Struggling to Pick the Right AI Model? Let&#39;s Break It Down.</title>
      <description>Explore our latest newsletter on how to safely and securely deliver AI solutions for enterprise.</description>
      <link>https://cohere.com/blog/struggling-to-pick-the-right-ai-model-lets-break-it-down</link>
      <guid isPermaLink="false">https://cohere.com/blog/struggling-to-pick-the-right-ai-model-lets-break-it-down</guid>
      <pubDate>Wed, 28 Feb 2024 14:19:25 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Behind the Scenes of Enterprise AI: Powering AI Assistants</title>
      <description>Explore our latest newsletter on how to safely and securely deliver AI solutions for enterprise.</description>
      <link>https://cohere.com/blog/behind-the-scenes-of-enterprise-ai-powering-ai-assistants</link>
      <guid isPermaLink="false">https://cohere.com/blog/behind-the-scenes-of-enterprise-ai-powering-ai-assistants</guid>
      <pubDate>Wed, 28 Feb 2024 10:37:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>LLM Agents and Evaluation: An Interview With Graham Neubig</title>
      <description>Graham Neubig is an associate professor at CMU studying natural language processing and machine learning. In this interview, Graham speaks about LLM agents, evaluation, tool use, and the future of neural network architectures besides Transformers.
        Here&#39;s my full conversation with Graham:
        Question: How do you guide people (in both academia and industry) to think about the evaluation of LLMs or AI models in general?
        Answer: Yeah. So this is a really good question. I think there&#39;s certainly a pl</description>
      <link>https://cohere.com/blog/llm-agents-and-evaluation-an-interview-with-graham-neubig</link>
      <guid isPermaLink="false">https://cohere.com/blog/llm-agents-and-evaluation-an-interview-with-graham-neubig</guid>
      <pubDate>Thu, 22 Feb 2024 22:56:03 GMT</pubDate>
      <author>Jay Alammar</author>
      <category>Research</category>
    </item>
    <item>
      <title>C4AI Launches Aya, an LLM Covering More Than 100 Languages</title>
      <description>More than double the number of languages covered by previous open-source AI models to increase coverage for underrepresented communities
        Today, the research team at Cohere For AI (C4AI), Cohere’s non-profit research lab, are excited to announce a new state-of-the-art, open-source, massively multilingual, generative large language research model (LLM) covering 101 different languages — more than double the number of languages covered by existing open-source models. Aya helps researchers unlock t</description>
      <link>https://cohere.com/blog/aya</link>
      <guid isPermaLink="false">https://cohere.com/blog/aya</guid>
      <pubDate>Tue, 13 Feb 2024 07:30:40 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere Joins New U.S. AI Safety Institute Consortium</title>
      <description>Today, Cohere joined more than 200 of the nation&#39;s leading AI stakeholders to help advance the development and deployment of safe AI technology with the new U.S. AI Safety Institute Consortium (AISIC).&amp;nbsp;
        The Department of Commerce’s National Institute of Standards and Technology (NIST) is establishing AISIC to bring together AI creators and users, academics, government and industry researchers, and civil society organizations to collaborate on AI safety efforts.&amp;nbsp;
        The consortium Cohere is joinin</description>
      <link>https://cohere.com/blog/cohere-joins-us-ai-safety-consortium</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-joins-us-ai-safety-consortium</guid>
      <pubDate>Thu, 08 Feb 2024 16:00:51 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>How to Choose the Right AI Model for Your Enterprise</title>
      <description>Picking a large language model is not always a straightforward process. Here’s a simple framework to identify the best-fit LLM solution for your enterprise. </description>
      <link>https://cohere.com/blog/how-to-choose-the-right-ai-model-for-your-enterprise</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-to-choose-the-right-ai-model-for-your-enterprise</guid>
      <pubDate>Thu, 08 Feb 2024 11:48:39 GMT</pubDate>
      <author>Neil Shepherd, Sudip Roy</author>
      <category>For Business</category>
    </item>
    <item>
      <title>UK Government Announces Major AI Policy Update at Cohere’s London Office</title>
      <description>The UK government announced its response to the AI regulation white paper on Monday at Cohere’s London offices. This is the most comprehensive UK policy announcement on AI since the launch of the white paper and the Safety Summit declaration in November 2023. It demonstrates the UK government’s ongoing commitment to building a pro-innovation regulatory administration that acknowledges the importance of AI safety and risk mitigation.&amp;nbsp;
        The UK government unveiled a regulatory framework that realiz</description>
      <link>https://cohere.com/blog/uk-government-ai-policy-announcement</link>
      <guid isPermaLink="false">https://cohere.com/blog/uk-government-ai-policy-announcement</guid>
      <pubDate>Tue, 06 Feb 2024 14:28:24 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Programming Foundation Models with DSPy and Multivector Semantic Search with ColBERT: An Interview With Omar Khattab</title>
      <description>From the various tools that enable building solutions with large language models (LLMs), DSPy stands out to me as one of the most promising tools for building LLM pipelines. It introduces a powerful abstraction for pipelines that interact with language models for generation as well as retrieval.
        I got to speak with Stanford Researcher Omar Khattab, the author of DSPy and have him introduce the intuitions behind DSPy, and where he sees the popular library going in the future. I also asked him ab</description>
      <link>https://cohere.com/blog/programming-foundation-models-with-dspy-multivector-semantic-search-with-colbert-omar-khattab</link>
      <guid isPermaLink="false">https://cohere.com/blog/programming-foundation-models-with-dspy-multivector-semantic-search-with-colbert-omar-khattab</guid>
      <pubDate>Thu, 01 Feb 2024 17:51:46 GMT</pubDate>
      <author>Jay Alammar</author>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere’s Enterprise AI Offering Is Now Generally Available on OCI Generative AI Service</title>
      <description>Back in October, we announced our partnership with Oracle to make Cohere’s state-of-the-art Command and Embed models available through the Oracle Cloud Infrastructure (OCI) Generative AI service, both in the cloud and on-premises. Today, we are excited to share that our models are now generally available on OCI. Through OCI, customers can access Cohere models easily and securely, while protecting their data privacy.
        In today&#39;s fast-paced business environment, Cohere’s large language models (LLM</description>
      <link>https://cohere.com/blog/generative-ai-service-ga</link>
      <guid isPermaLink="false">https://cohere.com/blog/generative-ai-service-ga</guid>
      <pubDate>Tue, 23 Jan 2024 15:41:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Scaling Semantic Search Systems with Pinecone and Cohere</title>
      <description>import cohere
        co = cohere.Client(&#39;COHERE_API_KEY&#39;)
        # Upload a dataset for embed jobs
        dataset_file_path = &#39;embed_jobs_sample_data.jsonl&#39;
        ds = co.create_dataset(
        name=&#39;sample_file&#39;,
        data=open(dataset_file_path, &#39;rb&#39;),
        dataset_type=&quot;embed-input&quot;
        )
        print(ds.await_validation())
        job = co.create_embed_job(dataset=ds.id,
        model=&#39;embed-english-v3.0&#39;,
        input_type=&#39;search_document&#39;)
        job.wait() # poll the server u</description>
      <link>https://cohere.com/blog/scaling-search-pinecone-cohere</link>
      <guid isPermaLink="false">https://cohere.com/blog/scaling-search-pinecone-cohere</guid>
      <pubDate>Tue, 16 Jan 2024 13:15:00 GMT</pubDate>
      <author>Nils Reimers, Lucas Fayoux, Alekhya Nandula, Manoj Govindassamy, Vlad Shmyhlo</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Exploring the Unknown, Together: 2023 at Cohere For AI</title>
      <description>After an incredible year for C4AI, we are taking this opportunity to look back at and celebrate all that we have accomplished in 2023! Cohere For AI launched in June 2022 as a non-profit research lab dedicated to contributing fundamental research in machine learning.&amp;nbsp;
        This year, our lab published over 30 papers on a range of cutting-edge ML research topics, including efficiency at scale [1,2,3], safety [4,5,6], generalization and evaluation [7,8] and policy [9,10,11].This research is the result</description>
      <link>https://cohere.com/blog/c4ai-2023</link>
      <guid isPermaLink="false">https://cohere.com/blog/c4ai-2023</guid>
      <pubDate>Thu, 21 Dec 2023 01:24:28 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Fine-Tuning for Chat: Enhancing AI-Powered Conversations</title>
      <description>AI-powered chatbots can play roles as diverse as a hotel concierge, IT customer support, and an internal finance assistant. While general language models serve a broad range of purposes, there are instances where customization and refinement become crucial. At Cohere, we recently released the ability to fine-tune our Chat endpoint for developers looking to shape their chatbots to meet specific style and knowledge requirements.
        Tailoring Chatbots for Specific Roles
        With fine-tuning, developers</description>
      <link>https://cohere.com/blog/chat-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/chat-fine-tuning</guid>
      <pubDate>Tue, 19 Dec 2023 16:00:00 GMT</pubDate>
      <author>Ye Shen</author>
      <category>Product</category>
    </item>
    <item>
      <title>Emerging Trends in Generative AI Research: A Selection of Recent Papers</title>
      <description>Stay at the forefront of NLP advances with Cohere For AI&#39;s recent community-curated research 🔍🧠</description>
      <link>https://cohere.com/blog/top-nlp-papers-october-2023</link>
      <guid isPermaLink="false">https://cohere.com/blog/top-nlp-papers-october-2023</guid>
      <pubDate>Thu, 14 Dec 2023 16:53:16 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Scaling Laws for AI: A Chat with MIT’s Neil Thompson</title>
      <description>In this interview with the Director of MIT’s FutureTech Lab, we discuss the growing pains of generative AI and how to avoid the innovation trap of specialization.</description>
      <link>https://cohere.com/blog/scaling-laws-of-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/scaling-laws-of-ai</guid>
      <pubDate>Thu, 14 Dec 2023 10:02:11 GMT</pubDate>
      <author>Sara Hooker, Astrid Sandoval</author>
      <category>For Business</category>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere Enables Enterprises to Connect Third-Party Datastores to Command</title>
      <description>Cohere’s enterprise AI platform took a major step forward today with the launch of build-your-own connectors, allowing companies to securely and quickly connect their datastores to Cohere’s large language model (LLM), Command. This enables businesses to build AI assistants that can answer highly specific questions about their own business and sector based on their own data, even if it sits on third-party applications like Slack or Google Drive.
        The open-beta release helps companies ask far more</description>
      <link>https://cohere.com/blog/introducing-third-party-connectors-command</link>
      <guid isPermaLink="false">https://cohere.com/blog/introducing-third-party-connectors-command</guid>
      <pubDate>Tue, 12 Dec 2023 17:04:08 GMT</pubDate>
      <author>Roy Eldar, Beatrix De Wilde</author>
      <category>Product</category>
      <category>For Business</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>The State of AI Security</title>
      <description>How to Avoid Hacks, Injections, and Breaches of LLM Applications. Plus 3 Real-World Examples.</description>
      <link>https://cohere.com/blog/the-state-of-ai-security</link>
      <guid isPermaLink="false">https://cohere.com/blog/the-state-of-ai-security</guid>
      <pubDate>Mon, 11 Dec 2023 15:44:02 GMT</pubDate>
      <author>Ads Dawson</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Fine-Tuning for Classification: Unlocking Multilabel and Multilingual Use Cases</title>
      <description>We’re excited to share that we’ve updated our capability for fine-tuning classification models to give customers better performance and enable new options for multilabel and multilingual classification.
        Fine-tuning for classification models has been available to Cohere customers for quite some time. Enterprises use classification models to build applications such as spam filtering, sentiment analysis, credit scoring, medical diagnosis, and sentence classifiers. Inspired by customer feedback and</description>
      <link>https://cohere.com/blog/classification-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/classification-fine-tuning</guid>
      <pubDate>Thu, 07 Dec 2023 16:40:18 GMT</pubDate>
      <author>Alexandre Matton</author>
      <category>Product</category>
    </item>
    <item>
      <title>Fine-tuning for Rerank: Elevating Relevance Across Complex Domains</title>
      <description>Recently, we added fine-tuning to our Rerank endpoint to improve search systems for complex domains. Complex domains present challenges for AI models due to their intricate terminology, context, and domain-specific knowledge requirements. These domains include legal documents, medical research papers, scientific literature, technical manuals, developer documentation, code, financial reports, and other fields that demand a deep understanding of specific jargon and intricate concepts. These domain</description>
      <link>https://cohere.com/blog/rerank-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/rerank-fine-tuning</guid>
      <pubDate>Mon, 04 Dec 2023 17:01:22 GMT</pubDate>
      <author>Abigail MacKenzie-Armes, Elliott Choi, Trushant Kalyanpur, Alexandre Matton, Nils Reimers, Evren Tumer, James Zhou</author>
      <category>Product</category>
    </item>
    <item>
      <title>How to Avoid the Pitfalls of Generative AI Projects</title>
      <description>Working with large language models requires a different approach compared with traditional AI strategies of the past. Those who adapt will reap transformative gains. </description>
      <link>https://cohere.com/blog/how-to-avoid-the-pitfalls-of-generative-ai-projects</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-to-avoid-the-pitfalls-of-generative-ai-projects</guid>
      <pubDate>Fri, 01 Dec 2023 11:29:39 GMT</pubDate>
      <author>Neil Shepherd, Vivek Muppalla, Shaun Hillin</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Future-Proof Your AI Strategy</title>
      <description>Explore our latest newsletter on how to safely and securely deliver AI solutions for enterprise.</description>
      <link>https://cohere.com/blog/future-proof-your-ai-strategy</link>
      <guid isPermaLink="false">https://cohere.com/blog/future-proof-your-ai-strategy</guid>
      <pubDate>Thu, 30 Nov 2023 09:38:57 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere’s Embed and Command Light Models with Fine-tuning Now Available on Amazon Bedrock</title>
      <description>Cohere’s Embed model, Command Light model, and fine-tuning capability are now available on Amazon Bedrock, AWS&#39;s fully managed service to build generative AI applications. The platform helps simplify development, while maintaining privacy and security. Embed powers AI applications centered around enterprise search and retrieval, and is available in English and multilingual versions. Additionally, with the inclusion of Command Light and the ability to fine-tune Command models, AWS customers can s</description>
      <link>https://cohere.com/blog/embed-command-light-fine-tuning-on-amazon-bedrock</link>
      <guid isPermaLink="false">https://cohere.com/blog/embed-command-light-fine-tuning-on-amazon-bedrock</guid>
      <pubDate>Thu, 30 Nov 2023 05:00:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere Launches Comprehensive Fine-Tuning Suite</title>
      <description>Today, we are launching three new fine-tuning capabilities:
        * Chat fine-tuning: For developing natural, personalized, and context-sensitive interactions that elevate customer support and virtual assistant conversations
        * Rerank fine-tuning: For transforming search and recommendation systems with superior accuracy to deliver more relevant results and an improved user experience
        * Multi-label classification fine-tuning: For streamlining text an

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Co-authored-by: Tony <TonyRL@users.noreply.github.com>
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http://localhost:1200/cohere/blog - Success ✔️
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    <title>The Cohere Blog</title>
    <link>https://cohere.com/blog</link>
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    <lastBuildDate>Mon, 07 Oct 2024 08:49:29 GMT</lastBuildDate>
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    <item>
      <title>Updates to Command R Fine-tuning</title>
      <description>Fine-tune the updated Command R 08-2024 with support for newer options giving you more control and visibility including a seamless integration with Weights &amp;amp; Biases.</description>
      <link>https://cohere.com/blog/fine-tuning-command0824</link>
      <guid isPermaLink="false">https://cohere.com/blog/fine-tuning-command0824</guid>
      <pubDate>Thu, 03 Oct 2024 16:54:49 GMT</pubDate>
      <author>Niyati Parameswaran, Hemant Jain, Ye Shen</author>
      <category>Product</category>
    </item>
    <item>
      <title>Introducing Cohere’s Updated APIs</title>
      <description>Cohere’s latest APIs offer new features and improvements for developers.</description>
      <link>https://cohere.com/blog/new-api-v2</link>
      <guid isPermaLink="false">https://cohere.com/blog/new-api-v2</guid>
      <pubDate>Fri, 27 Sep 2024 16:09:37 GMT</pubDate>
      <author>Michael Kozakov, Lucas Fayoux, Billy Trend</author>
      <category>Developers</category>
      <category>Product</category>
    </item>
    <item>
      <title>The Cohere AI App Is Now Available in Slack</title>
      <description>Automate daily tasks and get reliable, grounded answers with the new Cohere AI app, integrated directly into Slack.</description>
      <link>https://cohere.com/blog/slack-cohere-ai-app</link>
      <guid isPermaLink="false">https://cohere.com/blog/slack-cohere-ai-app</guid>
      <pubDate>Mon, 16 Sep 2024 12:50:08 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Aya - Powering a Global Language Revolution</title>
      <description>Cohere For AI celebrates six months of Aya&#39;s global impact, as it resonates with people and transforms the way they connect with AI.</description>
      <link>https://cohere.com/blog/aya-powering-a-global-language-revolution</link>
      <guid isPermaLink="false">https://cohere.com/blog/aya-powering-a-global-language-revolution</guid>
      <pubDate>Tue, 10 Sep 2024 16:20:45 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Empowering Exploration of the Next Frontier - Expedition Aya</title>
      <description>Celebrating the winners of Expedition Aya: Cohere For AI&#39;s six-week, global open-build challenge to connect researchers worldwide and support new multilingual research initiatives.</description>
      <link>https://cohere.com/blog/empowering-others-to-explore-the-next-frontier-expedition-aya</link>
      <guid isPermaLink="false">https://cohere.com/blog/empowering-others-to-explore-the-next-frontier-expedition-aya</guid>
      <pubDate>Tue, 10 Sep 2024 16:20:30 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere and NRI Collaborate to Launch New Financial AI Platform</title>
      <description>The NRI financial AI platform powered by Cohere’s enterprise-grade AI models will deliver real-world business value while prioritizing security and data privacy</description>
      <link>https://cohere.com/blog/nri-collaboration</link>
      <guid isPermaLink="false">https://cohere.com/blog/nri-collaboration</guid>
      <pubDate>Tue, 10 Sep 2024 13:04:43 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>For Business</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Updates to the Command R Series</title>
      <description>The latest versions of the Command R model series offer improvements across coding, math, reasoning, and latency.&amp;nbsp;</description>
      <link>https://cohere.com/blog/command-series-0824</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-series-0824</guid>
      <pubDate>Fri, 30 Aug 2024 13:55:06 GMT</pubDate>
      <author>Aidan Gomez</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Introducing Safety Modes</title>
      <description>Cohere Safety Modes provides enterprise customers with greater control over model guardrails.</description>
      <link>https://cohere.com/blog/intro-safety-modes</link>
      <guid isPermaLink="false">https://cohere.com/blog/intro-safety-modes</guid>
      <pubDate>Fri, 30 Aug 2024 13:49:40 GMT</pubDate>
      <author>Maximilian Mozes, Elaine Gao, Naomi White</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>How Enterprises Can Start Building Agentic AI</title>
      <description>Discover the seven essential resources and skills companies need to build AI agents and tap into the next frontier of generative AI.</description>
      <link>https://cohere.com/blog/how-enterprises-can-start-building-agentic-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-enterprises-can-start-building-agentic-ai</guid>
      <pubDate>Fri, 16 Aug 2024 09:03:16 GMT</pubDate>
      <author>Neel Gokhale, Matthew Koscak</author>
      <category>Developers</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Learn to Build Generative AI Applications with Cohere on AWS</title>
      <description>Explore&amp;nbsp; LLM University’s newest educational module featuring Amazon Bedrock and Amazon SageMaker.</description>
      <link>https://cohere.com/blog/co-aws-llmu</link>
      <guid isPermaLink="false">https://cohere.com/blog/co-aws-llmu</guid>
      <pubDate>Wed, 14 Aug 2024 15:50:40 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Developers</category>
    </item>
    <item>
      <title>How Generative AI Has Changed Security</title>
      <description>Ken Huang, Chief AI Officer at DistributedApps.AI, discusses how to make RAG systems secure with a systematic, principle-based approach.</description>
      <link>https://cohere.com/blog/how-generative-ai-has-changed-security-2</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-generative-ai-has-changed-security-2</guid>
      <pubDate>Mon, 12 Aug 2024 14:42:00 GMT</pubDate>
      <author>Ads Dawson, Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere For AI Scholars Program: Research Journeys Start Here</title>
      <description>Today, Cohere For AI is excited to open applications for the third cohort of our Scholars Program, designed to help change where, how, and by whom research is done.</description>
      <link>https://cohere.com/blog/cohere-for-ai-scholars-program-2025</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-for-ai-scholars-program-2025</guid>
      <pubDate>Sun, 11 Aug 2024 21:00:14 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Workflow Automation with AI: Insights from Atomicwork</title>
      <description>Discover how AI is transforming enterprise workflows by enhancing efficiency, reducing complexity, and improving service management. </description>
      <link>https://cohere.com/blog/workflow-automation-with-ai-insights-from-atomicwork</link>
      <guid isPermaLink="false">https://cohere.com/blog/workflow-automation-with-ai-insights-from-atomicwork</guid>
      <pubDate>Wed, 07 Aug 2024 11:55:44 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
      <category>Developers</category>
      <category>Past Events</category>
    </item>
    <item>
      <title>Straight Talk on AI Security with Exabeam’s Steve Wilson</title>
      <description>Exabeam’s Chief Product Officer Steve Wilson reveals the latest developments in AI cybersecurity.</description>
      <link>https://cohere.com/blog/straight-talk-on-ai-security-with-exabeams-steve-wilson</link>
      <guid isPermaLink="false">https://cohere.com/blog/straight-talk-on-ai-security-with-exabeams-steve-wilson</guid>
      <pubDate>Mon, 05 Aug 2024 09:57:12 GMT</pubDate>
      <author>Ads Dawson, Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Three Reasons Why Multilingual AI Is Essential</title>
      <description>Multilingual AI enables global communication and inclusivity by allowing technology to understand, process, and respond to diverse languages, breaking down language barriers in a connected world.</description>
      <link>https://cohere.com/blog/three-reasons-why-multilingual-ai-is-essential</link>
      <guid isPermaLink="false">https://cohere.com/blog/three-reasons-why-multilingual-ai-is-essential</guid>
      <pubDate>Wed, 31 Jul 2024 10:36:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Introducing Cohere Prompt Tuner: Prompt Optimization at Your Fingertips</title>
      <description>Automatically improve your prompts with Cohere’s new Prompt Tuner, available in beta today.</description>
      <link>https://cohere.com/blog/intro-prompt-tuner</link>
      <guid isPermaLink="false">https://cohere.com/blog/intro-prompt-tuner</guid>
      <pubDate>Tue, 30 Jul 2024 16:24:04 GMT</pubDate>
      <author>William Darling, Trushant Kalyanpur, Abel Essiane, Anna Bialas, Kyle Duffy, Olivia Lasche, Aalhad Patankar, Niyati Parameswaran</author>
      <category>Product</category>
    </item>
    <item>
      <title>Learn Workflow Automation with Our New LLM University Module on Tool Use</title>
      <description>Learn how to leverage the tool use capabilities of Command R+ to automate tasks and workflows.</description>
      <link>https://cohere.com/blog/tool-use-llmu</link>
      <guid isPermaLink="false">https://cohere.com/blog/tool-use-llmu</guid>
      <pubDate>Mon, 29 Jul 2024 15:36:17 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Developers</category>
    </item>
    <item>
      <title>Introducing Rerank 3 on Microsoft Azure AI</title>
      <description>We are thrilled to announce that Rerank 3 is now available on Microsoft Azure AI Studio. Rerank 3 is a foundation model that enhances existing search systems by reranking the initial search results to prioritize the most relevant documents.
        Accessing Cohere’s enterprise-ready language models on Azure AI’s robust infrastructure enables businesses to seamlessly, reliably, and safely incorporate cutting-edge semantic search technology into their applications. This integration allows users to lever</description>
      <link>https://cohere.com/blog/introducing-rerank-3-on-microsoft-azure-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/introducing-rerank-3-on-microsoft-azure-ai</guid>
      <pubDate>Thu, 25 Jul 2024 01:44:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Product</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Introducing Rerank 3 Nimble: Faster Reranking for Enterprise Search and Retrieval-Augmented Generation (RAG) Systems</title>
      <description>Today, Cohere is introducing Rerank 3 Nimble: the newest foundation model in our Cohere Rerank model series, built to enhance enterprise search and RAG systems, that is ~3x faster than Rerank 3 while maintaining a high level of accuracy.
        Functionally, reranking models take a query and a set of text documents as input. They assess each text document according to its relevance to the provided query and return a reordered list with the most relevant documents at the top. They’re used in search sys</description>
      <link>https://cohere.com/blog/rerank-3-nimble</link>
      <guid isPermaLink="false">https://cohere.com/blog/rerank-3-nimble</guid>
      <pubDate>Tue, 23 Jul 2024 15:58:24 GMT</pubDate>
      <author>Nils Reimers, Clifton Poth, Martin Hentschel, Rok Novosel, Elliott Choi</author>
      <category>Product</category>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Introducing Structured Outputs with JSON Response Format</title>
      <description>Structured Outputs improves accuracy of JSON generations and is 80x faster than open source implementations.</description>
      <link>https://cohere.com/blog/introducing-structured-outputs</link>
      <guid isPermaLink="false">https://cohere.com/blog/introducing-structured-outputs</guid>
      <pubDate>Fri, 19 Jul 2024 14:34:07 GMT</pubDate>
      <author>Ekagra Ranjan, Abdullah Elkady</author>
      <category>Product</category>
    </item>
    <item>
      <title>New Cohere Toolkit Features: Authentication, HTML and More</title>
      <description>At Cohere, we’re continuing to enable developers to accelerate generative AI application development. We’re expanding our open source Cohere Toolkit features, introducing HTML rendering, configurable authentication, and multi-step tool use.
        The toolkit is an open-source repository of production-ready applications that you can deploy across cloud providers. It contains the components required to build an end-to-end AI-powered assistant including source code for interfaces, models, and retrieval.</description>
      <link>https://cohere.com/blog/toolkit-features-july-2024</link>
      <guid isPermaLink="false">https://cohere.com/blog/toolkit-features-july-2024</guid>
      <pubDate>Tue, 16 Jul 2024 17:38:36 GMT</pubDate>
      <author>Beatrix De Wilde, Luisa Moura, Pia Leung, Jessica Wu, Tomeu Cabot</author>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere and Fujitsu Announce Strategic Partnership To Provide Japanese Enterprise AI Services</title>
      <description>Fujitsu and Cohere partner to develop Japanese AI models for global enterprises with secure and private deployment options. </description>
      <link>https://cohere.com/blog/fujitsu-partnership</link>
      <guid isPermaLink="false">https://cohere.com/blog/fujitsu-partnership</guid>
      <pubDate>Tue, 16 Jul 2024 03:01:45 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Building Robust Enterprise AI Solutions: Insights on LLM Performance, Safety, and Future Trends</title>
      <description>Enterprise AI requires a strategic approach to harness the power of LLMs while addressing economic and safety concerns.</description>
      <link>https://cohere.com/blog/building-robust-enterprise-ai-solutions-insights-on-llm-performance-safety-and-future-trends</link>
      <guid isPermaLink="false">https://cohere.com/blog/building-robust-enterprise-ai-solutions-insights-on-llm-performance-safety-and-future-trends</guid>
      <pubDate>Fri, 12 Jul 2024 11:58:24 GMT</pubDate>
      <author>Nick Jakobi</author>
      <category>For Business</category>
    </item>
    <item>
      <title>10 Ways C4AI Is Making an Impact, Two Years After Launching</title>
      <description>We’re celebrating our second year of Cohere For AI with 10 ways in which we have delighted in exploring the unknown. Here’s a look back on C4AI highlights on our second-year anniversary!</description>
      <link>https://cohere.com/blog/10-ways-c4ai-is-making-an-impact-two-years-after-launching</link>
      <guid isPermaLink="false">https://cohere.com/blog/10-ways-c4ai-is-making-an-impact-two-years-after-launching</guid>
      <pubDate>Thu, 11 Jul 2024 10:50:59 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Tackling AI Security Risks With Eyes Wide Open</title>
      <description>Cohere’s Staff Security Engineer Ads Dawson shares the latest best practices for GenAI security including red teaming tips.</description>
      <link>https://cohere.com/blog/tackling-ai-security-risks-with-eyes-wide-open</link>
      <guid isPermaLink="false">https://cohere.com/blog/tackling-ai-security-risks-with-eyes-wide-open</guid>
      <pubDate>Thu, 11 Jul 2024 10:12:41 GMT</pubDate>
      <author>Astrid Sandoval</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>The Perfect Productivity Match: Financial Services and GenAI</title>
      <description>Knowledge work and customer service are foundational to the financial sector — and prime targets for LLM solutions.</description>
      <link>https://cohere.com/blog/the-perfect-productivity-match-financial-services-and-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/the-perfect-productivity-match-financial-services-and-genai</guid>
      <pubDate>Fri, 28 Jun 2024 10:55:41 GMT</pubDate>
      <author>Robin Gainer, Sam Barnett, Itai Gerchikov</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Top 10 GenAI Automations Every Business Needs</title>
      <description>Unlock the transformative power of AI automation with large language models by identifying the right game-changing project for your business. </description>
      <link>https://cohere.com/blog/top-10-genai-automations-every-business-needs</link>
      <guid isPermaLink="false">https://cohere.com/blog/top-10-genai-automations-every-business-needs</guid>
      <pubDate>Thu, 27 Jun 2024 10:47:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Cohere’s Command R Model Series Is Now Available on OCI</title>
      <description>Cohere Command R is now available on the Oracle Cloud Infrastructure Generative AI service.</description>
      <link>https://cohere.com/blog/command-r-series-on-oci</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r-series-on-oci</guid>
      <pubDate>Thu, 20 Jun 2024 16:50:08 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Product</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Mastering Language Model Adoption: Five Key Areas for Enterprise Success</title>
      <description>Explore the nuanced journey of language model integration in enterprises. </description>
      <link>https://cohere.com/blog/mastering-language-model-adoption-five-key-areas-for-enterprise-success</link>
      <guid isPermaLink="false">https://cohere.com/blog/mastering-language-model-adoption-five-key-areas-for-enterprise-success</guid>
      <pubDate>Thu, 20 Jun 2024 09:21:04 GMT</pubDate>
      <author>Lewis Stott</author>
      <category>For Business</category>
    </item>
    <item>
      <title>GenAI Redefines Content Discovery and Personalization in Media and Entertainment</title>
      <description>Media and entertainment companies are tapping into the power of large language models to transform content search and discovery, and deliver a new level of personalization worldwide.</description>
      <link>https://cohere.com/blog/genai-redefines-content-discovery-and-personalization-in-media-and-entertainment</link>
      <guid isPermaLink="false">https://cohere.com/blog/genai-redefines-content-discovery-and-personalization-in-media-and-entertainment</guid>
      <pubDate>Mon, 17 Jun 2024 12:13:54 GMT</pubDate>
      <author>Mitchell Wong, Craig Meadow</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere Launches Startup Program to Empower Early-Stage AI Innovation</title>
      <description>Cohere&#39;s startup program helps early-stage companies reach their full potential by leveraging AI to scale their business and gain a competitive edge at an affordable cost.</description>
      <link>https://cohere.com/blog/cohere-launches-startup-program</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-launches-startup-program</guid>
      <pubDate>Thu, 06 Jun 2024 11:49:34 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>For Business</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Granting Access: Supporting Researchers to Use LLMs</title>
      <description>Cohere For AI’s research grants provide researchers around the world with subsidized and supported access to Cohere’s models.</description>
      <link>https://cohere.com/blog/granting-access</link>
      <guid isPermaLink="false">https://cohere.com/blog/granting-access</guid>
      <pubDate>Wed, 05 Jun 2024 09:00:00 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Unlock the Super Genius: Fine-tune Cohere Command R</title>
      <description>Learn how fine-tuning can unlock the benefits of foundational models like Cohere Command R for enterprise-grade workloads. </description>
      <link>https://cohere.com/blog/unlock-the-super-genius-fine-tune-command-r</link>
      <guid isPermaLink="false">https://cohere.com/blog/unlock-the-super-genius-fine-tune-command-r</guid>
      <pubDate>Thu, 30 May 2024 14:38:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Five Reasons Enterprises Are Choosing RAG</title>
      <description>Why leading technologists are choosing retrieval-augmented generation (RAG) systems for Enterprise AI
      </description>
      <link>https://cohere.com/blog/five-reasons-enterprises-are-choosing-rag</link>
      <guid isPermaLink="false">https://cohere.com/blog/five-reasons-enterprises-are-choosing-rag</guid>
      <pubDate>Fri, 24 May 2024 09:47:14 GMT</pubDate>
      <author>David Stewart, Maxime Voisin</author>
      <category>For Business</category>
    </item>
    <item>
      <title>C4AI Launches Aya 23, 8B and 35B Parameter Open Weights Release</title>
      <description>Cohere For AI announces Aya 23, a new family of state-of-the-art, multilingual, generative LLs) covering 23 languages. The 8 and 35-billion parameter Aya 23 models are part of our commitment to multilingual research.</description>
      <link>https://cohere.com/blog/aya23</link>
      <guid isPermaLink="false">https://cohere.com/blog/aya23</guid>
      <pubDate>Thu, 23 May 2024 00:18:43 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>An Inside Look at Building a RAG-Powered AI Agent for HR</title>
      <description>Borderless AI uses Command R with advanced RAG to power Alberni, the world’s first AI agent for human resources.
      </description>
      <link>https://cohere.com/blog/an-inside-look-at-building-a-rag-powered-ai-agent-for-hr</link>
      <guid isPermaLink="false">https://cohere.com/blog/an-inside-look-at-building-a-rag-powered-ai-agent-for-hr</guid>
      <pubDate>Wed, 22 May 2024 15:00:20 GMT</pubDate>
      <author>David Stewart</author>
      <category>For Business</category>
      <category>Developers</category>
      <category>Past Events</category>
    </item>
    <item>
      <title>Game On, Retailers: Elevate Your Customer Experience with GenAI</title>
      <description>From logistics to customer care, LLMs can fuel better shopping experiences and help retailers transform economic headwinds into tailwinds to achieve greater growth.</description>
      <link>https://cohere.com/blog/game-on-retailers-elevate-your-customer-experience-with-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/game-on-retailers-elevate-your-customer-experience-with-genai</guid>
      <pubDate>Fri, 17 May 2024 11:29:25 GMT</pubDate>
      <author>Sam Barnett, Robin Gainer, David Stewart</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Introducing Command R Fine-Tuning: Industry-Leading Performance at a Fraction of the Cost</title>
      <description>Command R fine-tuning offers superior performance on enterprise use cases and costs up to 15x less than the largest models on the market.</description>
      <link>https://cohere.com/blog/commandr-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/commandr-fine-tuning</guid>
      <pubDate>Thu, 09 May 2024 11:58:21 GMT</pubDate>
      <author>Niyati Parameswaran, Sudip Roy</author>
      <category>Product</category>
      <category>Newsroom</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Training Business Brains to Use GenAI</title>
      <description>Conor Grennan, Chief AI Architect at NYU Stern, reveals a human-centric vision for Enterprise AI
      </description>
      <link>https://cohere.com/blog/training-business-brains-to-use-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/training-business-brains-to-use-genai</guid>
      <pubDate>Tue, 07 May 2024 09:42:04 GMT</pubDate>
      <author>Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere Partners with MongoDB on New Program to Build Advanced Enterprise AI Applications</title>
      <description>Today, Cohere, the leading enterprise AI platform, will join MongoDB’s new AI Applications Program (MAAP) as part of its first cohort of partners. The MAAP program is designed to help organizations rapidly build and deploy modern generative AI applications at enterprise scale. Enterprises will be able to utilize MAAP to more easily and quickly leverage Cohere’s industry-leading AI technology, such as its highly performant and scalable Command R series of generative models, into their businesses.</description>
      <link>https://cohere.com/blog/cohere-partners-with-mongodb</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-partners-with-mongodb</guid>
      <pubDate>Wed, 01 May 2024 11:59:04 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>AI Agents Are Coming</title>
      <description>Explore our latest newsletter how AI systems can evolve agentic capabilities with advanced RAG and tool use.</description>
      <link>https://cohere.com/blog/ai-agents-are-coming</link>
      <guid isPermaLink="false">https://cohere.com/blog/ai-agents-are-coming</guid>
      <pubDate>Tue, 30 Apr 2024 15:33:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere’s Command R Model Family is Now Available In Amazon Bedrock</title>
      <description>Today, we’re excited to announce that our latest Command R model family is now available in Amazon Bedrock. We look forward to continuing our partnership with AWS to provide enterprise customers best-in-class AI solutions for their business needs to unlock powerful productivity and efficiency gains.&amp;nbsp;
        Command R and R+ are state-of-the-art large language models (LLMs) designed to tackle enterprise-grade workloads and enable businesses to move beyond proof-of-concept into production with AI. They </description>
      <link>https://cohere.com/blog/command-r-on-amazon-bedrock</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r-on-amazon-bedrock</guid>
      <pubDate>Mon, 29 Apr 2024 04:00:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
      <category>Product</category>
    </item>
    <item>
      <title>SaaS Is Readying for an Agentic Future</title>
      <description>LLM solutions with agentic capabilities offer exciting opportunities for SaaS innovation and differentiation.</description>
      <link>https://cohere.com/blog/saas-is-readying-for-an-agentic-future</link>
      <guid isPermaLink="false">https://cohere.com/blog/saas-is-readying-for-an-agentic-future</guid>
      <pubDate>Fri, 26 Apr 2024 11:47:43 GMT</pubDate>
      <author>Robin Gainer, Itai Gerchikov, David Stewart</author>
      <category>For Business</category>
    </item>
    <item>
      <title>New Cohere Toolkit Accelerates Generative AI Application Development</title>
      <description>Introducing the Cohere Toolkit, an open-source repository of production-ready applications deployable across cloud platforms</description>
      <link>https://cohere.com/blog/cohere-toolkit</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-toolkit</guid>
      <pubDate>Wed, 24 Apr 2024 19:16:42 GMT</pubDate>
      <author>Elaine Gao, Beatrix De Wilde</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>RAG Is Here to Stay: Four Reasons Why Large Context Windows Can&#39;t Replace It</title>
      <description>With the rise of supermassive context windows (1+ million tokens), there&#39;s an evolving narrative about it being a &quot;RAG Killer.&quot; Long context is great as it enables more use cases, but that doesn’t translate to the end of retrieval-augmented generation (RAG). In fact, it’s not an either/or decision for enterprise builders.&amp;nbsp;
        Larger context windows make everything better, including RAG. The downside is the added computational load of processing massive context windows, which leads to increasing co</description>
      <link>https://cohere.com/blog/rag-is-here-to-stay</link>
      <guid isPermaLink="false">https://cohere.com/blog/rag-is-here-to-stay</guid>
      <pubDate>Fri, 19 Apr 2024 14:48:25 GMT</pubDate>
      <author>Jay Alammar, Maxime Voisin, Sam Barnett</author>
      <category>Developers</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Automating Complex Business Workflows with Cohere: Multi-Step Tool Use in Action</title>
      <description>Enterprises are increasingly adopting AI to enhance business workflows. AI models, equipped with external tools, have the potential to streamline business operations.
        At Cohere, we’re excited to share that our latest generative models — Command R and R+ &amp;nbsp;— have been trained to interact with a variety of tools. You can explore these tools capabilities via our API and via Langchain. Whether you want AI to automatically take action in your own enterprise systems, analyze internal documents and dat</description>
      <link>https://cohere.com/blog/multi-step-tool-use</link>
      <guid isPermaLink="false">https://cohere.com/blog/multi-step-tool-use</guid>
      <pubDate>Tue, 16 Apr 2024 17:53:19 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere Compass Private Beta: A New Multi-Aspect Embedding Model</title>
      <description>Today, we are excited to announce the private beta for Cohere Compass, our new foundation embedding model that allows indexing and searching on multi-aspect data.
        Multi-aspect data can best be explained as data containing multiple concepts and relationships. This is common within enterprise data — emails, invoices, CVs, support tickets, log messages, and tabular data all contain substantial content with contextual relationships. Retrieval of this data is an ongoing challenge because 1) enterpri</description>
      <link>https://cohere.com/blog/compass-beta</link>
      <guid isPermaLink="false">https://cohere.com/blog/compass-beta</guid>
      <pubDate>Mon, 15 Apr 2024 13:30:58 GMT</pubDate>
      <author>Ben Eagan, Nils Reimers</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>How LLMs Can Boost Legal Productivity (with Accuracy and Privacy)</title>
      <description>Generative AI is increasingly being used by large law firms and legal tech providers. But accurate outputs and client privacy are must-haves that require the right tools and due diligence.</description>
      <link>https://cohere.com/blog/how-llms-can-boost-legal-productivity-with-accuracy-and-privacy</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-llms-can-boost-legal-productivity-with-accuracy-and-privacy</guid>
      <pubDate>Fri, 12 Apr 2024 13:28:59 GMT</pubDate>
      <author>Robin Gainer, Kosta Starostin</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Introducing Rerank 3: A New Foundation Model for Efficient Enterprise Search &amp; Retrieval</title>
      <description>Today, we&#39;re introducing our newest foundation model, Rerank 3, purpose built to enhance enterprise search and Retrieval Augmented Generation (RAG) systems.&amp;nbsp;
        Our model is compatible with any database or search index and can also be plugged into any legacy application with native search capabilities. With a single line of code, Rerank 3 can boost search performance or reduce the cost of running RAG applications with negligible impact to latency.
        Rerank 3 offers state-of-the-art capabilities for</description>
      <link>https://cohere.com/blog/rerank-3</link>
      <guid isPermaLink="false">https://cohere.com/blog/rerank-3</guid>
      <pubDate>Thu, 11 Apr 2024 13:30:43 GMT</pubDate>
      <author>Sylvie Shi, Nils Reimers</author>
      <category>Product</category>
      <category>Developers</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Introducing Command R+: A Scalable LLM Built for Business</title>
      <description>Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads, and is available first on Microsoft Azure.&amp;nbsp;</description>
      <link>https://cohere.com/blog/command-r-plus-microsoft-azure</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r-plus-microsoft-azure</guid>
      <pubDate>Thu, 04 Apr 2024 13:30:07 GMT</pubDate>
      <author>Aidan Gomez</author>
      <category>Newsroom</category>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere Embeddings Now Available Through Elastic’s Inference API</title>
      <description>With the release of Elasticsearch 8.13, developers can now access Cohere’s Embed v3 models in Elastic’s Inference API. This enables businesses to easily create embeddings for their data, index those embeddings in Elastic, and perform vector and hybrid search across their documents.
        Developers can use Elastic’s ingest pipelines to add Cohere embeddings to their indices for vector search with a single API call, and they can take advantage of Cohere’s native embedding compression to reduce storage</description>
      <link>https://cohere.com/blog/elastic-inference-api</link>
      <guid isPermaLink="false">https://cohere.com/blog/elastic-inference-api</guid>
      <pubDate>Thu, 28 Mar 2024 14:58:00 GMT</pubDate>
      <author>Jamie Linsdell, Elliott Choi</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Enterprise Search and Retrieval Demystified: A Guide for RAG Users</title>
      <description>Cohere customers&#39; most pressing questions about search and retrieval for RAG use cases answered.</description>
      <link>https://cohere.com/blog/commonly-asked-questions-about-search-from-coheres-enterprise-customers</link>
      <guid isPermaLink="false">https://cohere.com/blog/commonly-asked-questions-about-search-from-coheres-enterprise-customers</guid>
      <pubDate>Thu, 28 Mar 2024 10:22:03 GMT</pubDate>
      <author>David Stewart, Jamie Linsdell</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Advancing RAG with Command R to Solve Real Business Problems</title>
      <description>Explore our latest newsletter on what Enterprise AI really look likes. Hint: it starts with retrieval-augmented generation (RAG).</description>
      <link>https://cohere.com/blog/advancing-rag-with-command-r-to-solve-real-business-problems-2</link>
      <guid isPermaLink="false">https://cohere.com/blog/advancing-rag-with-command-r-to-solve-real-business-problems-2</guid>
      <pubDate>Tue, 26 Mar 2024 12:37:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Say Hello to Precision with AI Search</title>
      <description>Explore how the latest generation of language models is powering search and retrieval for AI applications.
      </description>
      <link>https://cohere.com/blog/say-hello-to-precision-how-rerankers-and-embeddings-boost-search</link>
      <guid isPermaLink="false">https://cohere.com/blog/say-hello-to-precision-how-rerankers-and-embeddings-boost-search</guid>
      <pubDate>Mon, 25 Mar 2024 11:16:21 GMT</pubDate>
      <author>David Stewart, Jamie Linsdell</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>How Insurers Can Unlock Their Data Vaults with AI</title>
      <description>Early adopters across the insurance sector are racing to gain a share of an expected $70 billion windfall from using generative AI.</description>
      <link>https://cohere.com/blog/how-insurers-can-unlock-their-data-vaults-with-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-insurers-can-unlock-their-data-vaults-with-ai</guid>
      <pubDate>Thu, 21 Mar 2024 10:42:43 GMT</pubDate>
      <author>Robin Gainer, Sam Barnett</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere’s Command R Enterprise Model Coming to ai.nvidia.com</title>
      <description>We’re proud to announce Cohere’s newly-launched RAG-optimized Command R model, designed for businesses to get into large-scale production, is coming to the recently launched NVIDIA API catalog.</description>
      <link>https://cohere.com/blog/cohere-launch-nvidia</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-launch-nvidia</guid>
      <pubDate>Mon, 18 Mar 2024 22:02:25 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere int8 &amp; binary Embeddings - Scale Your Vector Database to Large Datasets</title>
      <description>Cohere Embed now natively supports int8 and binary embeddings to reduce memory cost.</description>
      <link>https://cohere.com/blog/int8-binary-embeddings</link>
      <guid isPermaLink="false">https://cohere.com/blog/int8-binary-embeddings</guid>
      <pubDate>Mon, 18 Mar 2024 17:22:05 GMT</pubDate>
      <author>Nils Reimers</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Cohere Embed: New Features for More Efficient and Accurate Enterprise Search</title>
      <description>Cohere Embed now supports compressed embeddings and the asynchronous compute of embeddings on Cohere&#39;s servers.</description>
      <link>https://cohere.com/blog/embed-compression-embedjobs</link>
      <guid isPermaLink="false">https://cohere.com/blog/embed-compression-embedjobs</guid>
      <pubDate>Mon, 18 Mar 2024 17:20:43 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Introducing Tool Use With Command R: Seamlessly Automate Business Workflows</title>
      <description>Tool Use enables language models to interact with user-defined tools to automate highly sophisticated tasks.</description>
      <link>https://cohere.com/blog/tool-use-with-command-r</link>
      <guid isPermaLink="false">https://cohere.com/blog/tool-use-with-command-r</guid>
      <pubDate>Thu, 14 Mar 2024 18:43:27 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Command R: Retrieval-Augmented Generation at Production Scale</title>
      <description>Command R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprise.
        Today, we are introducing Command R, a new LLM aimed at large-scale production workloads. Command R targets the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and into production.
        Command R is a generative model optimized for long context tasks such as retrieval-augmented generation (RAG)</description>
      <link>https://cohere.com/blog/command-r</link>
      <guid isPermaLink="false">https://cohere.com/blog/command-r</guid>
      <pubDate>Mon, 11 Mar 2024 18:05:14 GMT</pubDate>
      <author>Aidan Gomez</author>
      <category>Product</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Architects of AI: Women Powering ML Ops</title>
      <description>Cohere celebrated International Women&#39;s Day with a webinar on March 7th, highlighting the remarkable contributions and achievements of women in tech, particularly those involved in machine learning operations (ML Ops).
        The webinar showcased the stories and achievements of five talented women from the Cohere team:
        * Autumn Moulder, Director of Infrastructure
        * Cécile Robert-Michon, Member of Technical Staff, Infrastructure
        * Ye Shen, Member of Technical Staff, Fine-tuning
        * Jessica Xie, Mem</description>
      <link>https://cohere.com/blog/women-powering-machine-learning-operations</link>
      <guid isPermaLink="false">https://cohere.com/blog/women-powering-machine-learning-operations</guid>
      <pubDate>Fri, 08 Mar 2024 16:20:55 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
      <category>Developers</category>
      <category>Past Events</category>
    </item>
    <item>
      <title>Cohere Recognized as AWS Generative AI Competency Partner</title>
      <description>Today, Cohere announced the company has achieved the Amazon Web Services (AWS) Generative AI Competency in the categories of Consulting Services, Generative AI applications, Foundational Models and App Development, and Infrastructure and Data. This specialization recognizes Cohere as an AWS Partner that helps customers and the AWS Partner Network (APN) drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies at scale.&amp;nbsp;
        This marks another s</description>
      <link>https://cohere.com/blog/cohere-aws-genai</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-aws-genai</guid>
      <pubDate>Wed, 06 Mar 2024 19:02:31 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere and Accenture Collaborate to Accelerate Enterprise AI Adoption</title>
      <description>Today, Cohere is excited to collaborate with Accenture to bring our state-of-the-art Command and Embed models, and industry leading Retrieval Augmented Generation (RAG) capabilities to organizations, helping to scale the use of generative AI across the enterprise.&amp;nbsp;
        Lan Guan, Chief AI Officer at Accenture noted in her blog post on the business partnership: “Building on Accenture’s $3B investment in AI, we have teamed up with Cohere, a leading AI platform for enterprise, to accelerate how we can </description>
      <link>https://cohere.com/blog/cohere-accenture-collaborate</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-accenture-collaborate</guid>
      <pubDate>Mon, 04 Mar 2024 21:04:07 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Cohere Opens New York Office</title>
      <description>Today, Cohere, the leading AI platform for enterprise, opened its New York office. After building its New York team over the last few years in a remote capacity, the company officially launched a formal presence in the city.&amp;nbsp;
        Cohere’s New York office will serve as an important hub for its senior leadership team to connect with its many existing partners in the city, and support initiatives with prominent organizations like the enterprise AI hackathon held with the New York Stock Exchange (NYSE)</description>
      <link>https://cohere.com/blog/cohere-new-york-office</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-new-york-office</guid>
      <pubDate>Fri, 01 Mar 2024 13:59:44 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Company</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>Harnessing AI Against Infectious Diseases: Insights from BlueDot&#39;s CEO</title>
      <description>This interview with BlueDot CEO Dr. Khan gives us a closer look at how BlueDot combines AI with vast amounts of data to alert us to health threats faster than ever before. </description>
      <link>https://cohere.com/blog/fighting-infectious-disease-with-ai-a-chat-with-bluedot-ceo</link>
      <guid isPermaLink="false">https://cohere.com/blog/fighting-infectious-disease-with-ai-a-chat-with-bluedot-ceo</guid>
      <pubDate>Fri, 01 Mar 2024 11:57:09 GMT</pubDate>
      <author>Astrid Sandoval</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere Outlines Enhanced Intellectual Property Legal Protections for Customers</title>
      <description>Cohere has long been committed to protecting customer data, privacy, and safety to help enterprises use our AI with peace of mind. As part of this, Cohere is further outlining how we are providing companies additional protections in the area of intellectual property (IP) protection against infringement claims.
        While our commitment to protecting companies against third party claims began before today, we wanted to outline them clearly, and make sure that our customers understand where we stand a</description>
      <link>https://cohere.com/blog/cohere-intellectual-property</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-intellectual-property</guid>
      <pubDate>Thu, 29 Feb 2024 14:00:11 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Struggling to Pick the Right AI Model? Let&#39;s Break It Down.</title>
      <description>Explore our latest newsletter on how to safely and securely deliver AI solutions for enterprise.</description>
      <link>https://cohere.com/blog/struggling-to-pick-the-right-ai-model-lets-break-it-down</link>
      <guid isPermaLink="false">https://cohere.com/blog/struggling-to-pick-the-right-ai-model-lets-break-it-down</guid>
      <pubDate>Wed, 28 Feb 2024 14:19:25 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Behind the Scenes of Enterprise AI: Powering AI Assistants</title>
      <description>Explore our latest newsletter on how to safely and securely deliver AI solutions for enterprise.</description>
      <link>https://cohere.com/blog/behind-the-scenes-of-enterprise-ai-powering-ai-assistants</link>
      <guid isPermaLink="false">https://cohere.com/blog/behind-the-scenes-of-enterprise-ai-powering-ai-assistants</guid>
      <pubDate>Wed, 28 Feb 2024 10:37:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>LLM Agents and Evaluation: An Interview With Graham Neubig</title>
      <description>Graham Neubig is an associate professor at CMU studying natural language processing and machine learning. In this interview, Graham speaks about LLM agents, evaluation, tool use, and the future of neural network architectures besides Transformers.
        Here&#39;s my full conversation with Graham:
        Question: How do you guide people (in both academia and industry) to think about the evaluation of LLMs or AI models in general?
        Answer: Yeah. So this is a really good question. I think there&#39;s certainly a pl</description>
      <link>https://cohere.com/blog/llm-agents-and-evaluation-an-interview-with-graham-neubig</link>
      <guid isPermaLink="false">https://cohere.com/blog/llm-agents-and-evaluation-an-interview-with-graham-neubig</guid>
      <pubDate>Thu, 22 Feb 2024 22:56:03 GMT</pubDate>
      <author>Jay Alammar</author>
      <category>Research</category>
    </item>
    <item>
      <title>C4AI Launches Aya, an LLM Covering More Than 100 Languages</title>
      <description>More than double the number of languages covered by previous open-source AI models to increase coverage for underrepresented communities
        Today, the research team at Cohere For AI (C4AI), Cohere’s non-profit research lab, are excited to announce a new state-of-the-art, open-source, massively multilingual, generative large language research model (LLM) covering 101 different languages — more than double the number of languages covered by existing open-source models. Aya helps researchers unlock t</description>
      <link>https://cohere.com/blog/aya</link>
      <guid isPermaLink="false">https://cohere.com/blog/aya</guid>
      <pubDate>Tue, 13 Feb 2024 07:30:40 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere Joins New U.S. AI Safety Institute Consortium</title>
      <description>Today, Cohere joined more than 200 of the nation&#39;s leading AI stakeholders to help advance the development and deployment of safe AI technology with the new U.S. AI Safety Institute Consortium (AISIC).&amp;nbsp;
        The Department of Commerce’s National Institute of Standards and Technology (NIST) is establishing AISIC to bring together AI creators and users, academics, government and industry researchers, and civil society organizations to collaborate on AI safety efforts.&amp;nbsp;
        The consortium Cohere is joinin</description>
      <link>https://cohere.com/blog/cohere-joins-us-ai-safety-consortium</link>
      <guid isPermaLink="false">https://cohere.com/blog/cohere-joins-us-ai-safety-consortium</guid>
      <pubDate>Thu, 08 Feb 2024 16:00:51 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>How to Choose the Right AI Model for Your Enterprise</title>
      <description>Picking a large language model is not always a straightforward process. Here’s a simple framework to identify the best-fit LLM solution for your enterprise. </description>
      <link>https://cohere.com/blog/how-to-choose-the-right-ai-model-for-your-enterprise</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-to-choose-the-right-ai-model-for-your-enterprise</guid>
      <pubDate>Thu, 08 Feb 2024 11:48:39 GMT</pubDate>
      <author>Neil Shepherd, Sudip Roy</author>
      <category>For Business</category>
    </item>
    <item>
      <title>UK Government Announces Major AI Policy Update at Cohere’s London Office</title>
      <description>The UK government announced its response to the AI regulation white paper on Monday at Cohere’s London offices. This is the most comprehensive UK policy announcement on AI since the launch of the white paper and the Safety Summit declaration in November 2023. It demonstrates the UK government’s ongoing commitment to building a pro-innovation regulatory administration that acknowledges the importance of AI safety and risk mitigation.&amp;nbsp;
        The UK government unveiled a regulatory framework that realiz</description>
      <link>https://cohere.com/blog/uk-government-ai-policy-announcement</link>
      <guid isPermaLink="false">https://cohere.com/blog/uk-government-ai-policy-announcement</guid>
      <pubDate>Tue, 06 Feb 2024 14:28:24 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>Company</category>
    </item>
    <item>
      <title>Programming Foundation Models with DSPy and Multivector Semantic Search with ColBERT: An Interview With Omar Khattab</title>
      <description>From the various tools that enable building solutions with large language models (LLMs), DSPy stands out to me as one of the most promising tools for building LLM pipelines. It introduces a powerful abstraction for pipelines that interact with language models for generation as well as retrieval.
        I got to speak with Stanford Researcher Omar Khattab, the author of DSPy and have him introduce the intuitions behind DSPy, and where he sees the popular library going in the future. I also asked him ab</description>
      <link>https://cohere.com/blog/programming-foundation-models-with-dspy-multivector-semantic-search-with-colbert-omar-khattab</link>
      <guid isPermaLink="false">https://cohere.com/blog/programming-foundation-models-with-dspy-multivector-semantic-search-with-colbert-omar-khattab</guid>
      <pubDate>Thu, 01 Feb 2024 17:51:46 GMT</pubDate>
      <author>Jay Alammar</author>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere’s Enterprise AI Offering Is Now Generally Available on OCI Generative AI Service</title>
      <description>Back in October, we announced our partnership with Oracle to make Cohere’s state-of-the-art Command and Embed models available through the Oracle Cloud Infrastructure (OCI) Generative AI service, both in the cloud and on-premises. Today, we are excited to share that our models are now generally available on OCI. Through OCI, customers can access Cohere models easily and securely, while protecting their data privacy.
        In today&#39;s fast-paced business environment, Cohere’s large language models (LLM</description>
      <link>https://cohere.com/blog/generative-ai-service-ga</link>
      <guid isPermaLink="false">https://cohere.com/blog/generative-ai-service-ga</guid>
      <pubDate>Tue, 23 Jan 2024 15:41:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Newsroom</category>
      <category>For Business</category>
    </item>
    <item>
      <title>Scaling Semantic Search Systems with Pinecone and Cohere</title>
      <description>import cohere
        co = cohere.Client(&#39;COHERE_API_KEY&#39;)
        # Upload a dataset for embed jobs
        dataset_file_path = &#39;embed_jobs_sample_data.jsonl&#39;
        ds = co.create_dataset(
        name=&#39;sample_file&#39;,
        data=open(dataset_file_path, &#39;rb&#39;),
        dataset_type=&quot;embed-input&quot;
        )
        print(ds.await_validation())
        job = co.create_embed_job(dataset=ds.id,
        model=&#39;embed-english-v3.0&#39;,
        input_type=&#39;search_document&#39;)
        job.wait() # poll the server u</description>
      <link>https://cohere.com/blog/scaling-search-pinecone-cohere</link>
      <guid isPermaLink="false">https://cohere.com/blog/scaling-search-pinecone-cohere</guid>
      <pubDate>Tue, 16 Jan 2024 13:15:00 GMT</pubDate>
      <author>Nils Reimers, Lucas Fayoux, Alekhya Nandula, Manoj Govindassamy, Vlad Shmyhlo</author>
      <category>Product</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Exploring the Unknown, Together: 2023 at Cohere For AI</title>
      <description>After an incredible year for C4AI, we are taking this opportunity to look back at and celebrate all that we have accomplished in 2023! Cohere For AI launched in June 2022 as a non-profit research lab dedicated to contributing fundamental research in machine learning.&amp;nbsp;
        This year, our lab published over 30 papers on a range of cutting-edge ML research topics, including efficiency at scale [1,2,3], safety [4,5,6], generalization and evaluation [7,8] and policy [9,10,11].This research is the result</description>
      <link>https://cohere.com/blog/c4ai-2023</link>
      <guid isPermaLink="false">https://cohere.com/blog/c4ai-2023</guid>
      <pubDate>Thu, 21 Dec 2023 01:24:28 GMT</pubDate>
      <author>Cohere For AI Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Fine-Tuning for Chat: Enhancing AI-Powered Conversations</title>
      <description>AI-powered chatbots can play roles as diverse as a hotel concierge, IT customer support, and an internal finance assistant. While general language models serve a broad range of purposes, there are instances where customization and refinement become crucial. At Cohere, we recently released the ability to fine-tune our Chat endpoint for developers looking to shape their chatbots to meet specific style and knowledge requirements.
        Tailoring Chatbots for Specific Roles
        With fine-tuning, developers</description>
      <link>https://cohere.com/blog/chat-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/chat-fine-tuning</guid>
      <pubDate>Tue, 19 Dec 2023 16:00:00 GMT</pubDate>
      <author>Ye Shen</author>
      <category>Product</category>
    </item>
    <item>
      <title>Emerging Trends in Generative AI Research: A Selection of Recent Papers</title>
      <description>Stay at the forefront of NLP advances with Cohere For AI&#39;s recent community-curated research 🔍🧠</description>
      <link>https://cohere.com/blog/top-nlp-papers-october-2023</link>
      <guid isPermaLink="false">https://cohere.com/blog/top-nlp-papers-october-2023</guid>
      <pubDate>Thu, 14 Dec 2023 16:53:16 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Research</category>
    </item>
    <item>
      <title>Scaling Laws for AI: A Chat with MIT’s Neil Thompson</title>
      <description>In this interview with the Director of MIT’s FutureTech Lab, we discuss the growing pains of generative AI and how to avoid the innovation trap of specialization.</description>
      <link>https://cohere.com/blog/scaling-laws-of-ai</link>
      <guid isPermaLink="false">https://cohere.com/blog/scaling-laws-of-ai</guid>
      <pubDate>Thu, 14 Dec 2023 10:02:11 GMT</pubDate>
      <author>Sara Hooker, Astrid Sandoval</author>
      <category>For Business</category>
      <category>Research</category>
    </item>
    <item>
      <title>Cohere Enables Enterprises to Connect Third-Party Datastores to Command</title>
      <description>Cohere’s enterprise AI platform took a major step forward today with the launch of build-your-own connectors, allowing companies to securely and quickly connect their datastores to Cohere’s large language model (LLM), Command. This enables businesses to build AI assistants that can answer highly specific questions about their own business and sector based on their own data, even if it sits on third-party applications like Slack or Google Drive.
        The open-beta release helps companies ask far more</description>
      <link>https://cohere.com/blog/introducing-third-party-connectors-command</link>
      <guid isPermaLink="false">https://cohere.com/blog/introducing-third-party-connectors-command</guid>
      <pubDate>Tue, 12 Dec 2023 17:04:08 GMT</pubDate>
      <author>Roy Eldar, Beatrix De Wilde</author>
      <category>Product</category>
      <category>For Business</category>
      <category>Newsroom</category>
    </item>
    <item>
      <title>The State of AI Security</title>
      <description>How to Avoid Hacks, Injections, and Breaches of LLM Applications. Plus 3 Real-World Examples.</description>
      <link>https://cohere.com/blog/the-state-of-ai-security</link>
      <guid isPermaLink="false">https://cohere.com/blog/the-state-of-ai-security</guid>
      <pubDate>Mon, 11 Dec 2023 15:44:02 GMT</pubDate>
      <author>Ads Dawson</author>
      <category>For Business</category>
      <category>Developers</category>
    </item>
    <item>
      <title>Fine-Tuning for Classification: Unlocking Multilabel and Multilingual Use Cases</title>
      <description>We’re excited to share that we’ve updated our capability for fine-tuning classification models to give customers better performance and enable new options for multilabel and multilingual classification.
        Fine-tuning for classification models has been available to Cohere customers for quite some time. Enterprises use classification models to build applications such as spam filtering, sentiment analysis, credit scoring, medical diagnosis, and sentence classifiers. Inspired by customer feedback and</description>
      <link>https://cohere.com/blog/classification-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/classification-fine-tuning</guid>
      <pubDate>Thu, 07 Dec 2023 16:40:18 GMT</pubDate>
      <author>Alexandre Matton</author>
      <category>Product</category>
    </item>
    <item>
      <title>Fine-tuning for Rerank: Elevating Relevance Across Complex Domains</title>
      <description>Recently, we added fine-tuning to our Rerank endpoint to improve search systems for complex domains. Complex domains present challenges for AI models due to their intricate terminology, context, and domain-specific knowledge requirements. These domains include legal documents, medical research papers, scientific literature, technical manuals, developer documentation, code, financial reports, and other fields that demand a deep understanding of specific jargon and intricate concepts. These domain</description>
      <link>https://cohere.com/blog/rerank-fine-tuning</link>
      <guid isPermaLink="false">https://cohere.com/blog/rerank-fine-tuning</guid>
      <pubDate>Mon, 04 Dec 2023 17:01:22 GMT</pubDate>
      <author>Abigail MacKenzie-Armes, Elliott Choi, Trushant Kalyanpur, Alexandre Matton, Nils Reimers, Evren Tumer, James Zhou</author>
      <category>Product</category>
    </item>
    <item>
      <title>How to Avoid the Pitfalls of Generative AI Projects</title>
      <description>Working with large language models requires a different approach compared with traditional AI strategies of the past. Those who adapt will reap transformative gains. </description>
      <link>https://cohere.com/blog/how-to-avoid-the-pitfalls-of-generative-ai-projects</link>
      <guid isPermaLink="false">https://cohere.com/blog/how-to-avoid-the-pitfalls-of-generative-ai-projects</guid>
      <pubDate>Fri, 01 Dec 2023 11:29:39 GMT</pubDate>
      <author>Neil Shepherd, Vivek Muppalla, Shaun Hillin</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Future-Proof Your AI Strategy</title>
      <description>Explore our latest newsletter on how to safely and securely deliver AI solutions for enterprise.</description>
      <link>https://cohere.com/blog/future-proof-your-ai-strategy</link>
      <guid isPermaLink="false">https://cohere.com/blog/future-proof-your-ai-strategy</guid>
      <pubDate>Thu, 30 Nov 2023 09:38:57 GMT</pubDate>
      <author>Cohere Team</author>
      <category>For Business</category>
    </item>
    <item>
      <title>Cohere’s Embed and Command Light Models with Fine-tuning Now Available on Amazon Bedrock</title>
      <description>Cohere’s Embed model, Command Light model, and fine-tuning capability are now available on Amazon Bedrock, AWS&#39;s fully managed service to build generative AI applications. The platform helps simplify development, while maintaining privacy and security. Embed powers AI applications centered around enterprise search and retrieval, and is available in English and multilingual versions. Additionally, with the inclusion of Command Light and the ability to fine-tune Command models, AWS customers can s</description>
      <link>https://cohere.com/blog/embed-command-light-fine-tuning-on-amazon-bedrock</link>
      <guid isPermaLink="false">https://cohere.com/blog/embed-command-light-fine-tuning-on-amazon-bedrock</guid>
      <pubDate>Thu, 30 Nov 2023 05:00:00 GMT</pubDate>
      <author>Cohere Team</author>
      <category>Product</category>
    </item>
    <item>
      <title>Cohere Launches Comprehensive Fine-Tuning Suite</title>
      <description>Today, we are launching three new fine-tuning capabilities:
        * Chat fine-tuning: For developing natural, personalized, and context-sensitive interactions that elevate customer support and virtual assistant conversations
        * Rerank fine-tuning: For transforming search and recommendation systems with superior accuracy to deliver more relevant results and an improved user experience
        * Multi-label classification fine-tuning: For streamlining text an

@TonyRL TonyRL merged commit 00d6628 into DIYgod:master Oct 7, 2024
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