Pruning and Distilling LLMs Using NVIDIA TensorRT Model Optimizer

This blog post discusses the optimization of large language models (LLMs) using NVIDIA TensorRT Model Optimizer, focusing on improving their deployment in natural language processing tasks, such as coding, reasoning, and math. It highlights techniques for pruning and distilling models to enhance efficiency and performance, making them more suitable for real-world applications.