Boost Your AI Predictions: Maximize Speed with vLLM Library for Large Language Model Inference

Discover vLLM, UC Berkeley's open-source library for fast LLM inference, featuring a PagedAttention algorithm for up to 24x higher throughput than HuggingFace Transformers. We'll compare vLLM and HuggingFace using the LLama 2 7b model, and learn how to easily integrate vLLM into your projects.

vLLM page: https://blog.vllm.ai/2023/06/20/vllm.html

Discord: https://discord.gg/UaNPxVD6tv
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GitHub repository: https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain

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00:00 - What is vLLM? …

ai predictions algorithm berkeley boost huggingface inference join language language model large language large language model learn library llama llama 2 llm predictions projects speed transformers uc berkeley