OpenAI Introduces CriticGPT to Enhance AI Error Detection

The new model aims to improve the accuracy of AI-generated code by assisting human trainers in identifying and correcting mistakes.

CriticGPT is designed to spot errors in code generated by ChatGPT, outperforming human reviewers 60% of the time.
The model was trained using Reinforcement Learning from Human Feedback (RLHF) with intentionally inserted code errors.
CriticGPT's critiques are preferred over human critiques in 63% of cases involving naturally occurring errors.
The tool reduces hallucination rates when used in collaboration with human trainers but still has limitations.
Google is also working on similar AI improvements, integrating third-party datasets to enhance accuracy.