Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...

CAD model retrieval and design reuse constitute a critical research area in engineering, where the efficient recovery of relevant design data from extensive libraries can notably reduce development ...

Retrieval augmented generation (RAG) has quickly risen to become one of the most popular architectures when building AI assistants, especially in scenarios where combining the power of language models ...

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

A recent study published in Engineering presents a novel framework named ERQA (mEdical knowledge Retrieval and Question-Answering), which is powered by an enhanced large language model (LLM). This ...

What happens when your AI-powered retrieval system gives you incomplete or irrelevant answers? Imagine searching a compliance document for a specific regulation, only to receive fragmented or ...

In the digital age, the ability to find relevant information quickly and accurately has become increasingly critical. From simple web searches to complex enterprise-knowledge management systems, ...

Artificial intelligence (AI) is revolutionizing digital advertising, enabling brands to deliver personalized and engaging experiences at scale. However, despite the advancements in generative AI, one ...