Language Modeling

Language modeling focuses on developing computational models that can understand and generate human language, aiming to improve tasks like text generation, translation, and question answering. Current research emphasizes improving model efficiency through techniques like quantization and exploring alternative architectures beyond transformers, such as selective state-space models, to address limitations in computational cost and long-context reasoning. This field is significant due to its broad applications across numerous domains and its contribution to a deeper understanding of language and intelligence, driving advancements in both scientific understanding and practical technologies.