About Decoding ML
The hub for continuous learning on LLM engineering, personalized recommenders, ML system design and MLOps.
Decoding ML is a publication that creates battle-tested content on building production-grade LLM and recommender systems that leverage good SWE and MLOps practices.
Our motto is “More engineering, less F1 scores.”
Following Decoding ML, you will learn about the entire lifecycle of an ML system, from system design to deploying and monitoring.
Decoding ML is the hub for continuous learning on:
- LLM engineering
- Personalized recommenders
- ML system design
- MLOps
We are all about end-to-end ML use cases that can directly be applied in the real world — no stories — just hands-on content.
Arthur and Felix are the minds behind Decoding ML.
But as they like to sleep all day long, I, Paul Iusztin, must do all their work.
Our passion for constantly learning and engineering production-ready ML systems inevitably turned into Decoding ML.
With our 10+ years of hands-on experience in the industry in:
- Data Science
- Deep Learning
- Generative AI
- ML Infrastructure
- MLOps
- Software Engineering
…we decided it is about time to share it with the world!
Why follow?
Join Decoding ML for battle-tested content on designing, coding, and deploying production-grade LLM, RecSys and MLOps systems. Every week.
No more bedtime stories in Jupyter Notebooks.
→ DML is all about hands-on advice from our 10+ years of experience in AI.
