Model Efficiency Techniques

Discover practical strategies for optimizing large language models for real-time production use. Techniques like knowledge distillation can significantly reduce model size while maintaining performance, and quantization allows for faster computations by lowering precision. These insights are crucial for developers aiming to enhance the efficiency and cost-effectiveness of AI applications.