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Definition
Model efficiency refers to techniques and metrics for optimizing AI models to achieve better performance relative to computational resources, memory usage, and energy consumption.
Key Techniques
- Quantization: Reducing precision of model weights (e.g., FP16, INT8, INT4)
- Pruning: Removing unnecessary weights or neurons
- Knowledge Distillation: Training smaller models from larger ones
- Architecture Optimization: Designing efficient model structures