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Binary And Scalar Embedding Quantization For Significantly Faster Comprehensive Overview
In this video, you'll learn about TWITTER: https://twitter.com/rohanpaul_ai ✨ When you store vectors, each number takes up 32 bits. With 1000 numbers per vector and millions of vectors, costs explode.
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Summary & Highlights for Binary And Scalar Embedding Quantization For Significantly Faster
- Binary quantization
- When you store vectors, each number takes up 32 bits. With 1000 numbers per vector and millions of vectors, costs explode.
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