awesome-compression
Explore beginner-level insights into model compression with guidance from MIT's TinyML courses. The project offers detailed explanations of pruning, quantization, and knowledge distillation techniques, aiming to decrease the resource usage of large language models. Catering to deep learning researchers, AI developers, and students, it includes theoretical insights and practical code applications, ideal for mobile and embedded systems. Access extensive Chinese-language resources, refine your understanding, and engage with the AI community.
