OpenAI News
Improving Model Safety Behavior with Rule-Based Rewards
We've developed and applied a new method leveraging Rule-Based Rewards (RBRs) that aligns models to behave safely without extensive human data collection.
OpenAI News
GPT-4o mini: advancing cost-efficient intelligence
OpenAI is committed to making intelligence as broadly accessible as possible. Today, we're announcing GPT‑4o mini, our most cost-efficient small model. We expect GPT‑4o mini will significantly expand the range of applications built with AI by making...
OpenAI News
New compliance and administrative tools for ChatGPT Enterprise
Compliance API integrations, SCIM, and GPT controls to support compliance programs, data security, and user access at scale
OpenAI News
Prover-Verifier Games improve legibility of language model outputs
Discover how prover-verifier games improve the legibility of language model outputs, making AI solutions clearer, easier to verify, and more trustworthy for both humans and machines.
OpenAI News
OpenAI and Los Alamos National Laboratory announce bioscience research partnership
OpenAI and Los Alamos National Laboratory are working to develop safety evaluations to assess and measure biological capabilities and risks associated with frontier models.
OpenAI News
Finding GPT-4’s mistakes with GPT-4
CriticGPT, a model based on GPT-4, writes critiques of ChatGPT responses to help human trainers spot mistakes during RLHF
OpenAI News
Strategic Content Partnership with TIME
We’re partnering with TIME and its 101 years of archival content to enhance responses and provide links to stories on Time.com
OpenAI News
Empowering defenders through our Cybersecurity Grant Program
Highlighting innovative research and AI integration in cybersecurity
OpenAI News
A Holistic Approach to Undesired Content Detection in the Real World
We present a holistic approach to building a robust and useful natural language classification system for real-world content moderation.
OpenAI News
Improved Techniques for Training Consistency Models
Consistency models are a nascent family of generative models that can sample high quality data in one step without the need for adversarial training.
OpenAI News
Consistency Models
Diffusion models have significantly advanced the fields of image, audio, and video generation, but they depend on an iterative sampling process that causes slow generation.