is about incorporating pro and moral human discernment to produce AI’s output more trusted, trusted, and correct. It involves augmenting a model’s teaching sources with authoritative awareness bases when required, holding biases from prompts, making sure the privacy of any facts used by the models, and scrutinizing suspect output. With reciproc