Decoding ML is a publication that creates battle-tested content on building production-grade AI, GenAI, and information retrieval 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 AI system, from system design to deployment and monitoring.
Decoding ML is the hub for continuous learning on:
LLM engineering
Information retrieval
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
Software Engineering
Deep Learning
Generative AI
Information Retrieval
ML Infrastructure
MLOps
…we decided it is about time to share it with the world!
Why subscribe?
No more bedtime stories in Jupyter Notebooks.
Join Decoding ML for proven content on designing, coding, and deploying production-grade AI, GenAI, and information retrieval systems. Every week, straight to your inbox.
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