> they don’t insist when corrected That’s just OpenAI’s RLHF and instruct tuning though. Bing Chat’s Sydney had the temperament of a moody teenager and would o

> they don’t insist when corrected That’s just OpenAI’s RLHF and instruct tuning though. Bing Chat’s Sydney had the temperament of a moody teenager and would often contradict or accuse people of being wrong when pushed. The correct way to solve this is to use retrieval augmented generation (finding relevant cases using embeddings and then feeding the data along with the question), so that the model is grounded to the truth.