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About • Eugene Yan
Eugene Yan designs, builds, and operates machine learning systems that serve customers at scale. He also writes about data/ML systems and career.
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System Design for Recommendations and Search
Breaking it into offline vs. online environments, and candidate retrieval vs. ranking steps.
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Start Here • Eugene Yan
Key themes I write about including machine learning systems & techniques, ML in production, data science methodology, writing, learning, and career.
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Writing • Eugene Yan
Writing is Learning. I write about machine learning, recommendation systems, large language models, and engineering.
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Search: Query Matching via Lexical, Graph, and Embedding Methods
An overview and comparison of the various approaches, with examples from industry search systems.
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Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space
The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.