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AI Tools Landscape

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Carlos Lizarraga-Celaya edited this page Oct 5, 2024 · 23 revisions

Current Landscape of AI Tools


(Image credit: HungryMind, Medium)

Artificial intelligence (AI) is rapidly changing the world, and AI tools are at the forefront of this change. AI tools are being used to automate tasks, improve decision-making, and create new products and services.

There are many AI Tools innovations, but some of the most notable include:

  • Deep learning: Deep learning is a type of machine learning that uses artificial neural networks to learn from data. Deep learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, natural language processing, and speech recognition.
  • Generative adversarial networks (GANs): GANs are a type of deep learning model that can be used to generate realistic images, text, and other data. GANs have been used to create realistic images of people and objects that do not exist, to generate realistic text, and to generate music.
  • Reinforcement learning: Reinforcement learning is a type of machine learning that allows agents to learn how to behave in an environment by trial and error. Reinforcement learning has been used to train agents to play games, control robots, and make decisions in complex environments.
  • Self-supervised learning: Self-supervised learning is a type of machine learning that allows agents to learn from unlabeled data. Self-supervised learning has been used to train agents to recognize objects in images, translate languages, and answer questions.
  • Explainable AI (XAI): XAI is a field of research that focuses on developing AI systems that are explainable to humans. XAI is important because it can help humans to understand how AI systems work and to trust the decisions that they make.

These are just a few of the many AI tool innovations that are happening today. As AI continues to develop, we can expect to see even more innovative AI tools that will change the way we live and work.

Popular

General AI Chatbots

There exist around one hundred different LLM sizes and versions, you can compare their performance on this board.

Phrasly.AI. Transforms AI-generated content into undetectable AI text.

Other options

HuggingFace LLM Repository

Install Ollama for running LLM models locally

General LLM (All Models)
  • Llama 3. Meta.
  • Llava. Vision encoder + Vicuna model.
  • Mistral. Mistral AI.
  • Mixtral. Mixture of Experts with Mistral.
  • Phi3. Microsoft.
  • Vicuna. General use chat model based on Llama and Llama 2.
Fine-tuned LLM on coding
  • codellama. Model for generating and discussing code based on Llama 2.
  • codegemma. collection of models that can perform a variety of coding tasks.
  • deepseek-coder. A coding model.
  • stable-coder. A coding model with instruct and code completion variants.
  • starcoder. A code generation model trained on 80+ programming languages.
  • starcoder2. Next-generation code generation model.
  • wizardcoder. State-of-the-art code-generating model.

GenerativeAI as Chrome Extensions

Text-to-image

Text-to-video

Image processing

Text-to-audio

AI Knowledge Discovery / Research Assistants

Accelerating Search Speed

Evaluating Depth Critically

Expanding Interdisciplinary Breadth

Other

General Writing Assistants

AI-Generated Presentation Templates

Code assistants

AI Tools

LLM Applications Materials

Educators Team, Data Science Institute, University of Arizona.

Prompt Engineering Tutorials / Cheat Sheets

GitHub Awesome Repositories

More References

GPT Technologies

ChatGPT in Education

University of Arizona Libraries Resources

General

Created: 04/18/2023 (Carlos Lizárraga); Last update: 05/31/2024 (Carlos Lizárraga)

CC BY-NC-SA

UArizona DataLab, Data Science Institute, University of Arizona, 2024.

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