ray-project/llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

Jupyter NotebookPythonOthermachine-learningopenairayservingfine-tuninganyscalellmsllama2
This is stars and forks stats for /ray-project/llm-applications repository. As of 02 May, 2024 this repository has 816 stars and 72 forks.

LLM Applications A comprehensive guide to building RAG-based LLM applications for production. Blog post: https://www.anyscale.com/blog/a-comprehensive-guide-for-building-rag-based-llm-applications-part-1 GitHub repository: https://github.com/ray-project/llm-applications Interactive notebook: https://github.com/ray-project/llm-applications/blob/main/notebooks/rag.ipynb Anyscale Endpoints: https://endpoints.anyscale.com/ Ray documentation: https://docs.ray.io/ In this guide, we will learn how to: 💻...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
1094401996/CareerCupLogosJavaPython0020
yuanfengyun/q_algorithmLuaC++JavaScript1.9k08460
integrationROS/catkin_wsMakefileCMakePython0000
Dwolla/dev-portalMDXTypeScriptOther6070
MetaTrustLabs/ctfMoveSolidityRust200140
DataDog/datadog-agent-buildimagesPowerShellDockerfileRoff120190
yoheinakajima/instagraphHTMLPythonOther2.7k02320
nicolas-hbt/pygraftPython512+7340
ansible-collections/amazon.awsPythonOther25702860
zhile-io/pandoraPythonHTMLOther3.3k05440