✂️ Mastering Model Optimization: Distillation, Pruning, and Quantization! 🚀
Unlock the secrets of model optimization as we embark on a journey through Distillation, Pruning, and Quantization techniques. Our goal? To streamline AI models, making them more memory-efficient without compromising their capabilities. Dive into the world of Quantization, where model parameters are rescaled from float 32 to float 16, significantly reducing the model's size and memory footprint. Join us on this path to leaner, more efficient AI models.
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