Compressing AI Models (LLMs) using Distillation, Quantization, and Pruning
1:12
YouTubeRajistics - data science, AI, and machine learning
Compressing AI Models (LLMs) using Distillation, Quantization, and Pruning
A couple of techniques we use to compress models. This saves GPU memory and can reduce the amount of compute needed. Model distillation compresses a large model’s knowledge into a smaller one, quantization reduces memory usage by representing parameters with fewer bits, and pruning streamlines the model by removing less important weights ...
2.8K viewsFeb 2, 2025
Knowledge Distillation Tutorial
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