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 (about a year ago)

Commits 321 (last one 17 days ago)

Stargazers 3,749 (25 this week)

Watchers 73 (0 this week)

Forks 621

License mit

Ranking

RepositoryStats indexes 630,459 repositories, of these decodingml/llm-twin-course is ranked #13,784 (98th percentile) for total stargazers, and #26,408 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,141/128,655.

decodingml/llm-twin-course is also tagged with popular topics, for these it's ranked: docker (#322/6590), aws (#95/2593), large-language-models (#61/1222), generative-ai (#35/688), rag (#56/681), mlops (#47/438), course (#19/309), infrastructure-as-code (#21/237), llmops (#28/183)

Other Information

decodingml/llm-twin-course has Github issues enabled, there are 4 open issues and 17 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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321 commits on the default branch (main) since jan '22

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updated: 2025-03-23 @ 10:41pm, id: 769066911 / R_kgDOLdcHnw