Making Very Small LLMs Smarter With RAG

RAG (Retrieval-Augmented Generation) technology is being used to enhance the capabilities of very small language models, allowing them to access external knowledge databases to provide more accurate and informed responses despite their limited size. This approach enables smaller, more efficient AI models to compete with larger ones by supplementing their training with real-time information retrieval.