Courses/Performance-Efficient Fine-Tuning: Mastering Scalable and Cost-Effective LLM Training (How to Tame and Train Your Draconian Language Model)/Quantization, Pruning, and Compression
Quantization, Pruning, and Compression
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Techniques to shrink models and accelerate inference—quantization, pruning, distillation, and end-to-end compression pipelines with attention to accuracy, latency, and hardware support.
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5.5 Structured vs Unstructured Pruning
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