#training-data

#training-data

Skepticism surrounds AI models' ability to refuse tasks, with critics arguing that it misattributes human emotions to non-sentient entities.

AI is proficient at following instructions but lacks creativity in generating new knowledge.

AI models are trained on vast datasets of human-derived text, but face risks of self-referential training that can diminish their quality.

CriticGPT assists human AI trainers in the RLHF process, improving code review accuracy by 60%.

CriticGPT was trained using RLHF methodologies to provide thorough critiques and assist in error detection.

Limitations of CriticGPT include focusing on short answers, needing development for complex outputs, and susceptibility to AI hallucinations.