As experts hint at the nearing technical limits of large language models (LLMs), the spotlight turns to retrieval-augmented generation (RAG) — a promising advancement that could redefine artificial intelligence (AI) by merging information retrieval with natural language generation. LLMs have led AI technology and improved various applications. However, their tendency to generate false information has limited […] Read this story
