# Reference

0. [GPT Directory](https://gptdirectory.cc/)
0. [vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs](https://github.com/vllm-project/vllm)
0. [Getting started with LLMs locally](https://tales.fromprod.com/2023/099/getting-started-with-llms-locally.html)
0. [LMQL is a programming language for LLMs](https://lmql.ai/)
0. [PhaseLLM helps you build robust LLM-driven software products](https://phasellm.com/)
0. [DeepSpeed](https://github.com/microsoft/DeepSpeed)
0. [Innovation Algebra](https://github.com/hannes-marais/innovation-algebra)
0. [GPTCache : A Library for Creating Semantic Cache for LLM Queries](https://github.com/zilliztech/GPTCache)
0. [PrivateGPT: Interact with your documents using the power of GPT, 100% privately, no data leaks](https://github.com/imartinez/privateGPT)
0. [Auto-GPT](https://news.agpt.co/)

0. [LangChain](https://www.langchain.com/)
   0. [LangChain](https://integrations.langchain.com/)
   0. [Awesome LangChain](https://github.com/kyrolabs/awesome-langchain)
0. [LLM Collection](https://www.promptingguide.ai/models/collection)

