Scale LLM

Scale in large language models (LLMs) is a critical research area focusing on improving efficiency, accessibility, and performance. Current efforts explore architectural innovations like Mixture-of-Experts (MoE) models to enhance speed and accuracy while managing computational costs, and methods for knowledge fusion to combine the strengths of multiple LLMs. These advancements aim to democratize access to powerful LLMs through open-source initiatives and efficient training strategies, ultimately impacting both scientific understanding of LLMs and their practical deployment in various applications.