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the memory sizes for the vector representation in both cases: Original vector: 1024 * 32 bits = 4096 bytes. Encoded vector: 8 * 8 bits = 8 bytes. The final compression is 512 times! This is the real power of product quantization. Quantization example. Numbers in vectors show how many numbers it