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Decoding ML

Proven content on designing, coding, and deploying production-grade AI, GenAI, and information retrieval systems

Welcome to Decoding ML

The hub for continuous learning on production-grade AI, GenAI, and information retrieval systems

When AI systems look encoded - we'll help you decode them.

๐ŸŽฏ Our mission

Decoding ML is a publication that creates battle-tested content on building production-grade AI, GenAI, and information retrieval systems โ€” built with ML systems, MLE, and MLOps best practices.

Our motto is "More engineering, less F1 scores."

๐Ÿ” What we cover

Following Decoding ML, you will learn about the entire lifecycle of an AI system, from system design to deploying and monitoring.

  • ๐Ÿค– GenAI Systems - From concept to production
  • ๐Ÿ”Ž Information Retrieval - Building scalable search and recommender systems
  • ๐Ÿ—๏ธ AI System Design - Architecture and best practices
  • โš™๏ธ AI Engineering - Hands-on implementation guides
  • ๐Ÿ› ๏ธ MLOps/LLMOps - Production deployment and monitoring

๐Ÿ—ž๏ธ Why subscribe to our newsletter and blog?

Join Decoding ML for proven content on designing, coding, and deploying production-grade AI systems. Every week, straight to your inbox.

No more bedtime stories in Jupyter Notebooks.

๐ŸŽ“ Our resources on learning AI:

๐Ÿค Let's collaborate!

We're always excited to collaborate with AI practitioners and creators. Have an idea or want to work together?

๐Ÿ“ง Reach out at p.b.iusztin@gmail.com


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  1. articles-code articles-code Public

    ๐Ÿ’ป Decoding ML articles hub: Hands-on articles with code on production-grade ML

    Jupyter Notebook 122 18

  2. llm-twin-course llm-twin-course Public

    ๐Ÿค– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป for ๐—ณ๐—ฟ๐—ฒ๐—ฒ how to ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ an end-to-end ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—Ÿ๐—Ÿ๐—  & ๐—ฅ๐—”๐—š ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ using ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€ best practices: ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 12 ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ ๐˜ญ๐˜ฆ๐˜ด๐˜ด๐˜ฐ๐˜ฏ๐˜ด

    Python 3.5k 579

  3. personalized-recommender-course personalized-recommender-course Public

    ๐Ÿ‘• Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

    Jupyter Notebook 253 49

  4. tabular-semantic-search-tutorial tabular-semantic-search-tutorial Public

    ๐Ÿ“š Tutorial on building a modern search app for Amazon e-commerce products leveraging tabular semantic search and natural language queries.

    Jupyter Notebook 23 5

  5. second-brain-ai-assistant-course second-brain-ai-assistant-course Public

    Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

    Jupyter Notebook 43 6

Repositories

Showing 6 of 6 repositories
  • .github Public
    decodingml/.githubโ€™s past year of commit activity
    0 0 0 0 Updated Feb 15, 2025
  • second-brain-ai-assistant-course Public

    Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

    decodingml/second-brain-ai-assistant-courseโ€™s past year of commit activity
    Jupyter Notebook 43 MIT 6 0 0 Updated Feb 13, 2025
  • tabular-semantic-search-tutorial Public

    ๐Ÿ“š Tutorial on building a modern search app for Amazon e-commerce products leveraging tabular semantic search and natural language queries.

    decodingml/tabular-semantic-search-tutorialโ€™s past year of commit activity
    Jupyter Notebook 23 MIT 5 1 0 Updated Jan 16, 2025
  • personalized-recommender-course Public

    ๐Ÿ‘• Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

    decodingml/personalized-recommender-courseโ€™s past year of commit activity
    Jupyter Notebook 253 MIT 49 0 0 Updated Jan 10, 2025
  • llm-twin-course Public

    ๐Ÿค– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป for ๐—ณ๐—ฟ๐—ฒ๐—ฒ how to ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ an end-to-end ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—Ÿ๐—Ÿ๐—  & ๐—ฅ๐—”๐—š ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ using ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€ best practices: ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 12 ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ ๐˜ญ๐˜ฆ๐˜ด๐˜ด๐˜ฐ๐˜ฏ๐˜ด

    decodingml/llm-twin-courseโ€™s past year of commit activity
    Python 3,543 MIT 579 4 0 Updated Dec 26, 2024
  • articles-code Public

    ๐Ÿ’ป Decoding ML articles hub: Hands-on articles with code on production-grade ML

    decodingml/articles-codeโ€™s past year of commit activity
    Jupyter Notebook 122 MIT 18 0 0 Updated Nov 29, 2024

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