General Language Model

General language models (GLMs) are large neural networks trained on massive text datasets to understand and generate human language. Current research focuses on adapting GLMs to specific domains (e.g., medicine, cybersecurity) through techniques like fine-tuning and knowledge distillation, while also addressing challenges such as maintaining long-context understanding and mitigating biases. These advancements are significantly impacting various fields, enabling improved natural language processing tasks in diverse applications and offering new tools for analyzing specialized corpora.