Learn Fast Neural Network Quantization

What you'll be able to do

Make models smaller and faster with little accuracy loss — essential for mobile, edge, and cost-efficient serving.

⌁ TensorFlow Lite / PyTorch ExecuTorch, NVIDIA TensorRT (INT8/FP8), Qualcomm SNPE, Apple Core ML, and llama.cpp/GGUF.

Start this internship

Create an account to unlock the 7 sections, the workbench, and AskThili.

Sections

1. Learn Fast Neural Network Quantization

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2. Understanding Neural Network Size and Parameters

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3. Mapping Function

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4. Post Training Dynamic Weights-Only Quantization

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5. Calibration

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6. Post Training Static Quantization (PTQ)

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7. Quantization Aware Training (QAT)

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