Resource Efficient LLM Fine-tuning and Serving

摘要

Large Language Models (LLMs) have achieved great success in many real-world applications. However, fine-tuning and serving LLMs require much memory and computing resources. This project aims to develop cutting-edge techniques to improve the resource efficiency of LLM fine-tuning and serving.