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SuperBruceJia / Awesome-Mixture-of-Experts

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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

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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
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