name: Precision
number: 17
type: optimization
difficulty: advanced
estimated_hours: 8-10

description: |
  Numerical precision optimization through quantization. Students learn to trade
  precision for performance and memory efficiency using INT8 quantization.

learning_objectives:
  - Understand floating point representation
  - Implement post-training quantization
  - Learn calibration and scaling techniques
  - Measure accuracy vs performance tradeoffs

prerequisites:
  - Module 15: Acceleration
  - Module 16: Caching

skills_developed:
  - Quantization techniques
  - Numerical precision management
  - Performance vs accuracy tradeoffs
  - Model size reduction

exports:
  - tinytorch.optimizations.quantization