decodingml / llm-twin-course

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Date Created 2024-03-08 (8 months ago)

Commits 291 (last one 2 days ago)

Stargazers 2,877 (207 this week)

Watchers 65 (1 this week)

Forks 469

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RepositoryStats indexes 584,353 repositories, of these decodingml/llm-twin-course is ranked #17,722 (97th percentile) for total stargazers, and #31,019 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,732/116,326.

decodingml/llm-twin-course is also tagged with popular topics, for these it's ranked: docker (#371/6216), aws (#116/2471), large-language-models (#64/1045), generative-ai (#36/546), rag (#45/486), mlops (#55/413), infrastructure-as-code (#24/223), llmops (#28/164)

Other Information

decodingml/llm-twin-course has 1 open pull request on Github, 25 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 7 closed issues.

All Topics

aws rag qwak mlops course docker llmops pulumi qdrant bytewax comet-ml superlinked generative-ai ml-system-design large-language-models infrastructure-as-code machine-learning-engineering

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

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updated: 2024-11-21 @ 01:11am, id: 769066911 / R_kgDOLdcHnw