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Definition of spring
THE plum is a technique for compressing neural networks which consists of Delete unnecessary connections of an AI model, without significantly altering its performance. The goal is to Reduce the size of the modelaccelerate its execution and lower its energy consumption.
Why is the PRUNING crucial?
- Reduces the computational load of IA modelswhich decreases the cost of inference.
- Allows you to deploy lighter models on mobile or on -board devices.
- Optimizes the use of GPUs and TPUs by limiting the number of unnecessary calculations.
Plum techniques
- Structured Pound : Remove whole layers or unused neurons blocks.
- Unstructured plum : remove the low connections between neurons.
- Iterative plum : gradually refine the model by removing the least relevant elements.
Concrete examples
🔹 Bert prunished maybe 50 % faster while retaining 95 % precision.
🔹 GPT-3 optimized with PRUNING can reduce its calculation needs of 30 %.
Advantages and challenges
| Benefits | Challenge |
|---|---|
| 🚀 Reduction of calculation cost | ❗ Risk of loss of precision |
| 🔋 less energy consumption | ⚙️ Complex optimization process |
| 📱 Facilitates execution on mobile | 🔄 Specific adjustment for each model |
The future of the Pruning
✅ Combination with quantity to maximize optimization.
✅ Use in open-source models to democratize AI.
✅ Deployment on on -board devices and Edge Computing.
