Different LLM

Large language models (LLMs) are rapidly evolving, with research focusing on improving their performance, reliability, and efficiency. Current efforts involve optimizing multiple LLMs for diverse tasks, developing methods to assess their trustworthiness and robustness, and exploring techniques like quantization to enhance computational efficiency. These advancements are impacting various fields, from healthcare (e.g., improving medical diagnosis support) to construction (e.g., optimizing material selection), demonstrating the broad applicability and significant potential of LLMs across numerous domains.