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Quantization vs Pruning vs Distillation: Optimizing NNs for Inference
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Four techniques to optimize the speed of your model's inference process:
0:38 - Quantization
5:59 - Pruning
9:48 - Knowledge Distillation
13:00 - Engineering Optimizations
References:
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Quantization vs Pruning vs Distillation: Optimizing NNs for Inference
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Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)
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✂️ Mastering Model Optimization: Distillation, Pruning, and Quantization! 🚀 #optimization #genai...
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Lecture 03 - Pruning and Sparsity (Part I) | MIT 6.S965
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Knowledge Distillation in Deep Neural Network
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Lecture 05 - Quantization (Part I) | MIT 6.S965
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Neural Network Compression – Dmitri Puzyrev
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Knowledge Distillation in Deep Learning - Basics
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[Part 1] A Crash Course on Model Compression for Data Scientists
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CMU Advanced NLP Fall 2024 (11): Distillation, Quantization, and Pruning
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Advanced Machine Learning with Neural Networks 2021 - Class 8 - Quantization and pruning
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ICLR Paper: Learn Step Size Quantization
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Lecture 12.2 - Network Pruning, Quantization, Knowledge Distillation
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structured vs unstructured pruning in PyTorch
0:13:04
Quantization in Deep Learning (LLMs)
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