OpenAI introduces CriticGPT to enhance AI training by fine-tuning GPT-4, making AI chatbots smarter and more reliable by aligning their outputs with human values.
Integrating AI with human feedback enhances chatbot intelligence.
OpenAI emphasizes trustworthiness and ethical alignment in developing advanced AI models.
Deep dives
OpenAI's Development of AI Assistance for Human Trainers
OpenAI has introduced a new approach to enhance AI helpers by integrating more AI into the training process. Known as reinforcement learning with human feedback (RLHF), this method involves human testers providing input to fine-tune AI models. The technique aims to improve AI reliability, coherence, and accuracy by using human evaluations to drive model behavior. OpenAI's latest model, CriticGPT, fine-tuned from GPT-4, has shown promise in assisting human trainers in assessing code effectively.
Evolution of AI Models at OpenAI and Anthropic
OpenAI and the rival Anthropic are refining AI models like CriticGPT to ensure outputs are trustworthy and aligned with human values. Both entities are exploring ways to inspect AI models for understanding their outcomes and preventing unwanted behavior. Amid a focus on training more powerful AI models, there is a priority on maintaining trustworthiness and ethical alignment. OpenAI's efforts to develop advanced AI models reflect a commitment to responsible AI advancement, following organizational shifts and critiques on risk management within the company's AI development process.
Having humans rate a language model’s outputs produced clever chatbots. OpenAI says adding AI to the loop could help make them even smarter and more reliable.