OpenAI’s New Tool to Tame the Beast of Large Language Models

In a bid to tackle the growing concern of hallucinations in large language models, OpenAI has developed a new AI tool called CriticGPT. This innovative tool uses reinforcement learning from human feedback to evaluate the responses of models like ChatGPT, helping to guide them towards truth and accuracy.

The Problem of Hallucinations

Large language models have made tremendous progress in generating clear and cogent prose in response to any question. However, they also often hallucinate or make up information, which can be detrimental to their overall performance. This is where CriticGPT comes in – to help humans training the models to identify and correct these hallucinations.

Training large language models requires careful evaluation of their responses.

How CriticGPT Works

The researchers at OpenAI trained CriticGPT to evaluate the responses of ChatGPT, specifically in generating computer code. They found that CriticGPT caught substantially more bugs than qualified humans paid for code review. This is a significant breakthrough, as it demonstrates the potential of AI to improve the feedback process in training models.

“The approach could be used to improve the feedback process in training models, but it also raises concerns about the potential for subtle AI biases to be injected into the feedback process.” - OpenAI Researcher

The Importance of Methodological Contributions

While the work is not conceptually new, it’s a useful methodological contribution to the field of AI research. The approach could be used to improve the feedback process in training models, but it also raises concerns about the potential for subtle AI biases to be injected into the feedback process.

The potential for AI biases in the feedback process is a growing concern.

The Future of AI Research

The new research is the first to come out of OpenAI since the company reorganized its alignment team. The company had disbanded its alignment team and distributed remaining team members to other research groups, raising concerns about the prioritization of AI risk. However, this new development suggests that OpenAI is still committed to advancing the field of AI research.

The future of AI research is full of possibilities and challenges.

Conclusion

OpenAI’s new tool, CriticGPT, is a significant step forward in the development of large language models. While there are still concerns about the potential for AI biases in the feedback process, the approach has shown promising results in evaluating the responses of models like ChatGPT. As the field of AI research continues to evolve, it’s essential to prioritize the development of tools like CriticGPT to ensure that these models are accurate, reliable, and trustworthy.