Introducing SWE-bench Verified
We’re releasing a human-validated subset of SWE-bench that more reliably evaluates AI models’ ability to solve real-world software issues.
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OpenAI
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Zico Kolter Joins OpenAI’s Board of Directors
Zico Kolter Joins OpenAI’s Board of Directors We’re strengthening our governance with expertise in AI safety and alignment. Zico will also join the Safety & Security Committee
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Enabling a data-driven workforce
In this video, we share practical examples of how employees can use ChatGPT Enterprise to efficiently analyze data and uncover insights.
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Pairing data with APIs to unlock customer value
Rakuten Pairs Data with AI to Unlock Customer Insights and Value
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Introducing Structured Outputs in the API
We are introducing Structured Outputs in the API—model outputs now reliably adhere to developer-supplied JSON Schemas.
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SearchGPT is a prototype of new AI search features
We’re testing SearchGPT, a temporary prototype of new search features that give you fast and timely answers with clear and relevant sources.
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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.
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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
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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.
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OpenAI and Los Alamos National Laboratory announce 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.
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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
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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
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Empowering defenders through our Cybersecurity Grant Program
Highlighting innovative research and AI integration in cybersecurity
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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.
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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.
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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.
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Surging developer productivity with custom GPTs
Paf adopted ChatGPT Enterprise across its entire company, with engineers using custom GPTs on a daily basis to speed up routine development tasks. Paf also integrated ChatGPT Enterprise into the grit:lab coding academy (gritlab.ax), training the next generation of software developers using an AI-augmented, systems-architecture mindset from day one. In addition to the wide range of use cases for developers…
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