What are OpenAI's safety protocols for AI?
Summary
The page outlines OpenAI's safety protocols, covering RLHF training, adversarial testing, usage policies, and technical safeguards like rate limits and content filters.
Key quotes
During training, models are fine-tuned using reinforcement learning from human feedback (RLHF), where human reviewers rank responses based on safety and usefulness.
During deployment, OpenAI enforces usage policies and technical safeguards. API access includes rate limits, monitoring systems, and content filters to block harmful requests.
Milvus’s AI Quick Reference provides a concise overview of OpenAI’s safety mechanisms for developers integrating generative AI. The article situates these protocols within broader responsible AI practices.