# decodingai-magazine/llm-twin-course

<https://repo.masters-masters.com/en/repos/decodingai-magazine/llm-twin-course>

[Home](https://repo.masters-masters.com/en) › [decodingai-magazine](https://repo.masters-masters.com/en/owners/decodingai-magazine) › [llm-twin-course](https://repo.masters-masters.com/en/repos/decodingai-magazine/llm-twin-course)

decodingai-magazine/llm-twin-course has 4,407 stars on GitHub. Its RepoMasters card: RC tier. 🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end…

| Field | Value |
| --- | --- |
| Owner | [decodingai-magazine](https://repo.masters-masters.com/en/owners/decodingai-magazine) |
| Stars | 4,407 |
| Forks | 732 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | aws, bytewax, comet-ml, generative-ai, large-language-models, machine-learning-engineering, ml-system-design, mlops, qdrant, qwak |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [decodingai-magazine/llm-twin-course](https://github.com/decodingai-magazine/llm-twin-course) |

## Repository

🤖 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

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.