We are committed to advancing the development of artificial intelligence technology, sharing our discoveries with the global research community through publishing papers, releasing models, and open-sourcing tools.
Our research covers key technology areas on the path to Artificial General Intelligence (AGI).
We developed the GPT series of language models, demonstrating the enormous potential of large-scale unsupervised learning in natural language understanding and generation. From GPT-1 to GPT-4, the models' capabilities continue to improve, showing amazing reasoning and creativity.
Through the DALL-E series and CLIP, we explored the connection between text and images. DALL-E 3 can generate extremely realistic images from natural language descriptions, while Sora extended this capability to video generation.
We are committed to solving the AI alignment problem, ensuring that AI systems' goals and behaviors remain consistent with human values. Through techniques like RLHF (Reinforcement Learning from Human Feedback), we have significantly improved model safety and utility.
We are researching how to give AI models stronger logical reasoning, mathematical problem-solving, and long-term planning capabilities. The OpenAI o1 series models have achieved breakthrough progress in complex reasoning tasks.
GPT-4 is our most advanced system, capable of solving difficult problems with greater accuracy. It has broad general knowledge and problem-solving abilities, demonstrating human-level performance on various professional and academic benchmarks.
DALL·E 3's ability to understand nuances and details is significantly better than previous systems, allowing you to easily transform ideas into highly accurate images. It is natively integrated with ChatGPT to help you generate prompts.
Sora is our text-to-video model. It can generate videos up to one minute long while maintaining visual quality and adhering to user prompts. Sora can generate complex scenes containing multiple characters, specific types of motion, and accurate details of subjects and backgrounds.