tinyML Auto ML Deep Dive with Qualcomm – AI Model Efficiency Toolkit (AIMET)

tinyML Auto ML Deep Dive with Qualcomm
AI Model Efficiency Toolkit (AIMET)

Manual optimization of a neural network for improved efficiency is costly, time-consuming, and not scalable. The AI Model Efficiency Toolkit (AIMET) solves this challenge by offering state-of-the-art quantization and compression techniques that allow users to get memory, compute, and energy-efficient models for fixed-point inference while maintaining accuracy comparable to floating point models.

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