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 4 months ago)

Stargazers 1,734 (1 this week)

Watchers 18 (0 this week)

Forks 233

License cc-by-4.0

Ranking

RepositoryStats indexes 595,856 repositories, of these ray-project/llm-applications is ranked #30,135 (95th percentile) for total stargazers, and #123,334 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #657/17,543.

ray-project/llm-applications is also tagged with popular topics, for these it's ranked: machine-learning (#880/8063), openai (#205/2250), llms (#58/537), llama2 (#34/238), fine-tuning (#24/189)

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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Languages

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

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updated: 2024-12-21 @ 04:39am, id: 679091311 / R_kgDOKHocbw