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9min chapter
Generally AI - Season 2 - Episode 4: Coordinate Systems in AI and the Physical World
The InfoQ Podcast
Navigating High-Dimensional Similarity
This chapter explores the concepts of distance and similarity in high-dimensional spaces, using library book categorization as an analogy. It delves into cosine similarity and Euclidean distance, highlighting the significance of direction over magnitude in vector comparisons. The chapter also discusses the challenges of nearest neighbor search, introducing efficient algorithms like the HNSW method for scalable applications in AI and database retrieval.
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