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 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Date Created 2024-03-08 (3 months ago)

Commits 221 (last one 2 days ago)

Stargazers 822 (42 this week)

Watchers 43 (0 this week)

Forks 169

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RepositoryStats indexes 529,266 repositories, of these decodingml/llm-twin-course is ranked #57,844 (89th percentile) for total stargazers, and #48,637 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #8,816/102,093.

decodingml/llm-twin-course is also tagged with popular topics, for these it's ranked: docker (#935/5729), aws (#310/2326), large-language-models (#137/820), mlops (#81/383), generative-ai (#52/365), rag (#54/267), infrastructure-as-code (#45/204), llmops (#48/127)

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decodingml/llm-twin-course has Github issues enabled, there are 2 open issues and 0 closed issues.

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

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updated: 2024-06-14 @ 04:35am, id: 769066911 / R_kgDOLdcHnw