Retrieval-Augmented Generation: Architecting Trustworthy Knowledge Systems on Top of Large Language Models
Fluency and reliability are not the same property, and large language models have far more of the first than the second. A model's factual content is fixed at the point training concludes; its errors are distributed through billions of parameters rather than isolated in any inspectable location; and no signal in its ou...