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A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

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Post-Training Quantization

Deployment & Inference · Level 3 of 5

Post-Training Quantization

Quantizing a trained model without full quantization-aware retraining.

Calibration data may be needed to choose useful scales.

Example

A float model is converted using representative input samples.

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Post-Training Quantization. Quantizing a trained model without full quantization-aware retraining. Calibration data may be needed to choose useful scales. For example: A float model is converted using representative input samples.

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Quantization

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