DistilBERT

DistilBERT is a streamlined version of the BERT language model designed to understand and generate human language more efficiently. It processes text to grasp context and meaning, making tasks like answering questions or summarizing easier for computers. By being smaller and faster, DistilBERT requires less computing power while maintaining strong performance, enabling applications like chatbots and search engines to work seamlessly. Essentially, it offers a balance between accuracy and efficiency, making advanced language understanding accessible for a broader range of devices and services.