OpenAI has released a report on the development of the AI model CriticGPT, which is based on GPT-4 for detecting errors in the output of ChatGPT, a programmatic code. In the past, the method of improving AI accuracy involved AI Trainers providing feedback to help AI learn and improve (RLHF – Reinforcement Learning from Human Feedback).
However, as ChatGPT becomes more proficient at answering complex questions, it becomes increasingly challenging for humans to accurately catch errors, especially in the code. CriticGPT was designed to assist in pinpointing areas that humans should review for potential errors, thus making the feedback more precise and accurate.
One may wonder how CriticGPT learns. The method used is also RLHF, where the correct outputs from ChatGPT are reviewed and corrected by humans to introduce errors for CriticGPT to identify and learn from.
OpenAI’s study found that incorporating CriticGPT into AI Trainer tasks significantly improved error detection by 63% compared to working without assistance.
OpenAI predicts that in the future, AI will excel in solving complex problems, prompting AI developers to create tools like CriticGPT to stay ahead and prevent AI from making errors.
TLDR: OpenAI introduces CriticGPT, an AI model designed to enhance error detection in ChatGPT outputs, ultimately improving AI accuracy and problem-solving capabilities.
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