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decodingml / llm-twin-course

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🤖 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

docker aws course infrastructure-as-code machine-learning-engineering comet-ml rag mlops pulumi qdrant large-language-models bytewax generative-ai qwak llmops ml-system-design superlinked
  • Updated Apr 26, 2025
  • Python

anastasiamkh / engineering-machine-learning-systems

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Structured notes on designing scalable and fault-tolerant ML systems, to refresh your knowledge and help you prepare for a system design interview. Covers system design, MLOps, and case studies.

python engineering devops distributed-systems machine-learning tech architecture ml interview data-engineering interview-preparation system-design end-to-end-machine-learning machine-learning-interview scalable-machine-learning mlops ml-interview system-design-interview ml-systems ml-system-design
  • Updated Jan 18, 2025

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