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 (9 months ago)

Commits 302 (last one 12 days ago)

Stargazers 3,081 (25 this week)

Watchers 68 (0 this week)

Forks 502

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RepositoryStats indexes 595,890 repositories, of these decodingml/llm-twin-course is ranked #16,428 (97th percentile) for total stargazers, and #28,951 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,535/119,419.

decodingml/llm-twin-course is also tagged with popular topics, for these it's ranked: docker (#361/6300), aws (#104/2495), large-language-models (#63/1090), generative-ai (#37/580), rag (#48/530), mlops (#53/421), course (#18/292), infrastructure-as-code (#24/225), llmops (#28/170)

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decodingml/llm-twin-course has Github issues enabled, there are 2 open issues and 16 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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302 commits on the default branch (main) since jan '22

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updated: 2024-12-21 @ 05:06pm, id: 769066911 / R_kgDOLdcHnw