Finetuning, Serving, and Evaluating Large Language Models in the Wild

Finetuning, Serving, and Evaluating Large Language Models in the Wild

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- vLLM: Efficient Memory Management for LLM Inference

8 of 11

8 of 11

- vLLM: Efficient Memory Management for LLM Inference

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Finetuning, Serving, and Evaluating Large Language Models in the Wild

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  1. 1 Welcome to the world of the world of large language models with Dr. Hao Zhang postdoctoral researcher at the Sky Lab, UC Berkeley. In this talk, Finetuning, Serving, and Evaluating LLMs in the Wild, …
  2. 2 - Introductions
  3. 3 - Background
  4. 4 - An Example
  5. 5 - Chatbot Arena: Deployment & Elo-based Leaderboard
  6. 6 - Today’s Focus: Behind the Scene
  7. 7 - Key Insight
  8. 8 - vLLM: Efficient Memory Management for LLM Inference
  9. 9 - Memory Efficiency of vLLM
  10. 10 - vLLM Open-Source Adoption
  11. 11 - Key Idea

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