Keeping up with how the best ML teams in the world actually build and scale their systems is a genuine competitive advantage for any machine learning engineer. Machine Learning at Scale is a Substack publication by Ludovico Bessi that delivers weekly, high-quality insights on ML systems from top tech companies — covering RAG systems, LLM optimizations, training pipelines, and ML system design in practical, applicable depth.
Built to help ML engineers upskill and become 10x more effective, it also features tools used by real practitioners and deep dives into specific topics that matter. If you're serious about growing as an ML engineer, this is the publication to read every week.

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