OpenAI unveils CriticGPT, a model built to critique GPT4's output
Meet the AI model that not only generates code but critically reviews and improves it.
You might have made ChatGPT your code buddy in the past, but quickly dumped it because it gave you countless wrong outputs. What if there was an AI that could not only help you code but also critically review its own work?
Enter CriticGPT, OpenAI's latest model, designed to critique GPT-4’s output with a laser focus on catching errors.
CriticGPT is positioned to be a reviewer embedded right in your workflow. Built on the foundation of GPT-4, this new model is trained to spot inaccuracies and provide detailed critiques of code generated by ChatGPT.
CriticGPT’s ability to catch mistakes has been fine-tuned through testing, where it outperformed human reviewers 63% of the time in identifying naturally occurring bugs. For developers, this means you can now rely on an AI that not only generates code but also critically evaluates it, catching those errors that you may have missed.
CriticGPT will extend beyond just debugging. OpenAI is integrating it into its Reinforcement Learning from Human Feedback (RLHF) pipeline, a core method for refining AI models like ChatGPT. This integration helps trainers by providing them with precise and actionable feedback, making the entire training process more efficient and effective.
Looking ahead, OpenAI aims to scale CriticGPT's capabilities to handle more complex and lengthy tasks, a necessary evolution as AI systems continue to grow in sophistication.
