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  1. 30 de nov. de 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.

  2. chat.openai.com › auth › loginChatGPT - OpenAI

    ChatGPT is a free-to-use AI system. Use it for engaging conversations, gain insights, automate tasks, and witness the future of AI, all in one place.

  3. openai.com › index › hello-gpt-4oHello GPT-4o | OpenAI

    13 de mai. de 2024 · We'll roll out a new version of Voice Mode with GPT-4o in alpha within ChatGPT Plus in the coming weeks. Developers can also now access GPT-4o in the API as a text and vision model. GPT-4o is 2x faster, half the price, and has 5x higher rate limits compared to GPT-4 Turbo.

  4. chat.openai.com › auth › loginChatGPT - OpenAI

    Give me ideas. for what to do with my kids' art . 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.

  5. platform.openai.com › docs › modelsOpenAI Platform

    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.

  6. 30 de mai. de 2024 · Bringing AI into the new school year. To build on these applications, we designed ChatGPT Edu as an accessible option for universities to bring AI to their campuses at scale. ChatGPT Edu includes: Access to GPT-4o, our flagship model, excelling in text interpretation, coding, and mathematics. Advanced capabilities such as data analytics, web ...

  7. 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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