Machine Learning at Scale

Say you are building a RAG system and want to see how teams at large tech companies structure it, or you need to work out how LLM training and optimization hold up in production.

Machine Learning at Scale is a Substack newsletter by Ludovico Bessi that publishes weekly pieces on machine learning systems and engineering at scale, written for machine learning engineers who want to build their skills.

Topics include RAG systems, LLM optimizations, LLM training and ML system design.

Some issues are deep dives into a single subject.

Others cover tools that machine learning engineers use day to day.

The material draws on systems from major tech companies, so it leans toward how things work in production rather than introductory theory.

As an AI tutorial and learning resource, Machine Learning at Scale is a reading habit rather than a course.

You get one issue a week, not a structured curriculum with exercises.

That works for engineers who already know the basics and want a steady feed of system-level thinking.

If you need guided lessons from zero, look elsewhere.