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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 chat.openai.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
Sign up to chat. "Playground" is a specialized GPT designed to facilitate learning and experimentation with GPT functionalities..
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.
Sep 25, 2023 · We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT what you’re talking about. Voice and image give you more ways to use ChatGPT in your life.
Sign up or Log in to chat. A versatile guide for various installation processes, adaptable in tone and approach.
May 31, 2024 · 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 Headphones...
Continuous model upgrades. gpt-4o, gpt-4-turbo, gpt-4, and gpt-3.5-turbo point to their respective latest model version. You can verify this by looking at the response object after sending a request. The response will include the specific model version used (e.g. gpt-3.5-turbo-0613 ).
Discover and create custom versions of ChatGPT that combine instructions, extra knowledge, and any combination of skills.
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.
