Large Lm

Large language models (LLMs) are a focus of intense research, aiming to improve their efficiency, accuracy, and adaptability to diverse tasks. Current efforts concentrate on techniques like model pruning and parameter-efficient fine-tuning to reduce computational costs, as well as methods for adapting LLMs to specific domains (e.g., medicine) or integrating them with other architectures like graph neural networks. These advancements are crucial for broadening the accessibility and applicability of LLMs across various fields, from healthcare and education to general-purpose natural language processing.