Quantization and truthfulness

◀ Prev | 2026-01-05, access: $ Basic

Video quantization basics hallucination logic text Quantization is rounding off, an important class of techniques for saving space and computation in the use of machine learning models. As well as reviewing the general topic of quantization and floating-point numbers, I discuss experiments on the question of how quantization affects truthfulness, the factual accuracy of answers returned by quantized language models.

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