Understanding Retrieval-Augmented Generation (RAG): The AI Architecture That Makes LLMs Smarter

Introduction Large Language Models (LLMs) like ChatGPT have transformed how we interact with AI. They can write code, answer questions, summarize documents, and generate creative content. However, they have one major limitation - they only know what they were trained on and can sometimes generate incorrect or outdated information. So, how do modern AI applications answer questions about your company's private documents, recent news, or knowledge that wasn't part of the model's training? The...

Original Source

Read the full article at Dev →

KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.