AI Infrastructure & Deployment
Quantization
Reducing model precision (FP32 → INT8) to decrease size and increase inference speed with minimal accuracy loss.
Related Concepts
- Model Compression: Explore how Model Compression relates to Quantization
- Inference: Explore how Inference relates to Quantization
- Optimization: Explore how Optimization relates to Quantization
Why It Matters
Understanding Quantization is crucial for anyone working with ai infrastructure & deployment. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
ai-infrastructure-deployment model-compression inference optimization