Data for 19,846 physician assistants and 11,833 nurse practitioners were analyzed with the primary assessment being attrition rate. Here are five things to know: 1. The ED, non-physician ...

Such huge success invites attention and curiosity to learn more about it. In this article, we will look into implementing a Retrieval-Augmented Generation (RAG) system using DeepSeek R1. We will cover ...

All winning or stakes-placed progeny are listed for North American performances within the previous seven days. Winners are updated on the list only when the information on new winners is ...

"The core of the Retrieval Augmented Generation (RAG) pattern is to take a user's question, retrieve portions of documents that might be relevant to that question and then answer the question by ...

Learn More Popular AI orchestration framework LlamaIndex has introduced Agent Document Workflow (ADW), a new architecture that the company says goes beyond retrieval-augmented generation (RAG ...

We introduce MMed-RAG, a powerful multimodal RAG system that boosts the factuality of Medical Vision-Language Models (Med-LVLMs) by up to 43.8%! 🩺 [Paper] [X(Twitter)] MMed-RAG enhances alignment ...

In recent years, Retrieval Augmented Generation (RAG) systems have made significant progress in extending the capabilities of Large Language Models (LLM) through external retrieval. However, these ...