Machine learning at scale

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A Substack publication delivering weekly insights on machine learning systems and engineering at scale. Machine Learning at Scale is a Substack publication by Ludovico Bessi that delivers weekly insights on machine learning systems from top tech companies. It aims to help machine learning engineers upskill and become x10 engineers by providing high-quality content on topics like RAG systems, LLM optimizations, LLM training, and ML system design. The publication also features tools used by machine learning engineers and deep dives into specific topics.

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Key Features AI

Core Features
Weekly newsletter with high-quality insights
Deep dives into ML topics
Tools used by Machine Learning engineers
ML System design course (coming soon)
YouTube channel (coming soon)
Archive of past articles
Advantages
High-quality, curated content
Insights from a Google ML engineer
Focus on practical, real-world applications
Covers a range of important ML topics
缺点:Content is primarily text-based (for now)
缺点:ML System design course and YouTube channel are still in development
缺点:Requires a Substack subscription

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