A photorealistic image of an astronaut riding a horse. DALL·E 2 can create original, realistic images and art from a text description. It can combine concepts, attributes, and styles. DALL·E 2 can expand images beyond what’s in the original canvas, creating expansive new compositions.
2021年1月5日 · DALL·E: Creating images from text. We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language. Illustration: Justin Jay Wang.
Pioneering research on the path to AGI. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission. View research index Learn about safety.
2022年11月30日 · ChatGPT is a sibling model to InstructGPT , which is trained to follow an instruction in a prompt and provide a detailed response. We are excited to introduce ChatGPT to get users’ feedback and learn about its strengths and weaknesses. During the research preview, usage of ChatGPT is free. Try it now at chatgpt.com .
ChatGPT helps you get answers, find inspiration and be more productive. It is free to use and easy to try. Just ask and ChatGPT can help with writing, learning, brainstorming and more.
2015年12月11日 · OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.
2023年2月24日 · First, as we create successively more powerful systems, we want to deploy them and gain experience with operating them in the real world. We believe this is the best way to carefully steward AGI into existence—a gradual transition to a …
2022年8月25日 · This book is a great resource of ready-made prompts and tips to make professional looking art, including Portraits, Sketches, Infographics, Landscapes, Industrial Design, Architecture, 3D Fantasy, Games and more.
2020年6月11日 · In fact, many of our teams are now using the API so that they can focus on machine learning research rather than distributed systems problems. Today the API runs models with weights from the GPT-3 family with many speed and throughput improvements.