Scientific Language Model

Scientific language models (SLMs) leverage the power of large language models (LLMs) to process and generate scientific text, aiming to accelerate scientific discovery and knowledge dissemination. Current research focuses on improving SLM efficiency through optimized model architectures and high-quality training data, as well as developing methods for evaluating their performance across diverse scientific domains and tasks, including molecular modeling, materials science, and geoscience. These advancements hold significant promise for automating tasks like literature review, hypothesis generation, and data analysis, ultimately enhancing the speed and efficiency of scientific research.