ray-project / llm-applications

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

Date Created 2023-08-16 (about a year ago)

Commits 88 (last one 3 months ago)

Stargazers 1,716 (2 this week)

Watchers 17 (0 this week)

Forks 229

License cc-by-4.0

Ranking

RepositoryStats indexes 584,353 repositories, of these ray-project/llm-applications is ranked #30,125 (95th percentile) for total stargazers, and #129,600 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #649/17,098.

ray-project/llm-applications is also tagged with popular topics, for these it's ranked: machine-learning (#879/7926), openai (#196/2175), llms (#55/506), llama2 (#34/237)

Other Information

ray-project/llm-applications has 5 open pull requests on Github, 72 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 3 closed issues.

All Topics

ray llms llama2 openai serving anyscale fine-tuning machine-learning

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Recent Commit History

88 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

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updated: 2024-11-20 @ 02:11pm, id: 679091311 / R_kgDOKHocbw