Jyotinder Singh - Practical Quantization in Keras | PyData Seattle 2025

Описание: Large language models are often too large to run on personal machines, requiring specialized hardware with massive memory. Quantization provides a way to shrink models, speed them up, and reduce memory usage - all while retaining most of their accuracy.

This talk introduces the fundamentals of neural network quantization, key techniques, and demonstrates how to apply them using Keras’s extensible quantization framework.

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