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Nov 30, 2022 · 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.
Access to GPT-4, GPT-4o, GPT-3.5. Up to 5x more messages for GPT-4o. Access to advanced data analysis, file uploads, vision, and web browsing. DALL·E image generation. Create and use custom GPTs
Apr 1, 2024 · Start using ChatGPT instantly. We’re making it easier for people to experience the benefits of AI without needing to sign up. It's core to our mission to make tools like ChatGPT broadly available so that people can experience the benefits of AI.
OpenAI. ChatGPT on your desktop. Chat about email, screenshots, files, and anything on your screen. Learn more. Ask ChatGPT anything. Quiz me on vocabulary. Apple & ChatGPT. OpenAI and Apple announce partnership to integrate ChatGPT into Apple experiences. Learn more. Spring Update.
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.
GPT-4 is available in the OpenAI API to paying customers. Like gpt-3.5-turbo, GPT-4 is optimized for chat but works well for traditional completions tasks using the Chat Completions API. Learn how to use GPT-4 in our text generation guide.
3 days ago · This official app is free, syncs your history across devices, and brings you the newest model improvements from OpenAI. With ChatGPT in your pocket, you’ll find: · Voice mode—tap the...
OpenAI's text generation models (often referred to as generative pre-trained transformers or "GPT" models for short), like GPT-4 and GPT-3.5, have been trained to understand natural and formal language. Models like GPT-4 allows text outputs in response to their inputs.
ChatGPT is fine-tuned from GPT-3.5, a language model trained to produce text. ChatGPT was optimized for dialogue by using Reinforcement Learning with Human Feedback (RLHF) – a method that uses human demonstrations and preference comparisons to guide the model toward desired behavior.
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