OpenAI has unveiled CriticGPT, a new model designed to identify and correct errors in code generated by ChatGPT. Built on the GPT-4 architecture, CriticGPT aims to assist human reviewers by providing detailed critiques of ChatGPT's outputs.
CriticGPT was developed through training on a dataset that included intentionally buggy code, allowing it to learn to spot various types of errors. This new model is intended to enhance the accuracy and reliability of ChatGPT's responses, particularly in code generation tasks.
According to OpenAI, CriticGPT helps human reviewers detect mistakes that might otherwise go unnoticed. In experiments, teams using CriticGPT produced higher quality reviews compared to those working without the model. Human annotators preferred CriticGPT-assisted critiques 63% of the time over those done by humans alone.
Despite its advantages, CriticGPT is not without limitations. It can still generate hallucinations and may struggle with longer, more complex tasks. Additionally, the quality of its critiques can be affected by human error in data labeling.
OpenAI plans to integrate CriticGPT into its Reinforcement Learning from Human Feedback (RLHF) pipeline, enhancing the ability of human trainers to evaluate AI outputs accurately.