RAG (Retrieval Augmented Generation) is an AI technique for Large Language Models (LLM) to extract answers from an external source. It helps mitigate the problem of hallucinations and provides more accurate and up-to-date responses.
Recently, the committee of Ballarat held a session, “Leveraging the AI Opportunity”, as part of their Insights forum. I delivered a talk on Generative AI (Artificial Intelligence) and Retrieval Augmented Generation (RAG) and demonstrated a chatbot that was able to answer questions using the given material as the source.
