How to Train a Chatbot Using RAG and CustomData

The article discusses how Meta's Llama model simplifies the implementation of Retrieval-Augmented Generation (RAG) techniques, enabling more efficient integration of external data sources into chatbot systems. By leveraging Llama's architecture, developers can train customized chatbots that utilize RAG to enhance response accuracy and relevance through seamless retrieval of domain-specific information.