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#040 Vector Database Quantization, Product, Binary, and Scalar

How AI Is Built

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Understanding Floating Point Precision in AI

This chapter explores the complexities of floating point precision and quantization in artificial intelligence, discussing formats like fp32 and fp16, and various quantization techniques. It emphasizes the importance of selecting appropriate strategies based on accuracy, memory, and computational requirements, while teasing the upcoming episode on knowledge graphs.

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