Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Background: Retrieval-augmented generation (RAG) is increasingly used to improve large language models in the medical and nursing domains. However, a comprehensive understanding of its specific ...

Abstract: Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding their outputs in external knowledge. However, conventional chunk-based retrieval methods are limited ...

The best agentic coding model available today can spin up a development environment, write and debug a full application, push to a ...