Skip to content
#

mome

Star

Here are 2 public repositories matching this topic...

SuperBruceJia / Awesome-Mixture-of-Experts

Star 4

Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)

artificial-intelligence sparse moe load-balancing multimodal-learning mixture-of-experts mome gating-network foundation-models large-language-models llms large-language-model large-vision-language-models expert-network llms-reasoning llms-benchmarking mixtrure-of-multimodal-experts sparse-moe sparse-mixture-of-experts sparse-mixture-of-multimodal-experts
  • Updated Sep 25, 2024

ksm26 / Improving-Accuracy-of-LLM-Applications

Star 0

The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.

lora evaluation-framework performance-optimization text-to-sql self-reflection mome prompt-engineering llm-accuracy instruction-fine-tuning memory-tuning iterative-fine-tuning llama-models model-reliability
  • Updated Aug 29, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the mome topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the mome topic, visit your repo's landing page and select "manage topics."

Learn more