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  1. 30 lis 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. Samples. Fix code. Home security.

    • API

      Chat Completions API. Get access to our most powerful models...

    • OpenAI Platform

      Explore developer resources, tutorials, API docs, and...

  2. Chat Completions API. Get access to our most powerful models with a few lines of code. Learn more. Build low-latency, multimodal experiences, including speech-to-speech. Build AI assistants within your own applications that can leverage models, tools, and knowledge to do complex, multi-step tasks.

  3. platform.openai.com › docs › api-referenceOpenAI Platform

    Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.

  4. 24 kwi 2024 · Update on April 24, 2024: The ChatGPT API name has been discontinued. Mentions of the ChatGPT API in this blog refer to the GPT-3.5 Turbo API. ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities.

  5. The ChatGPT API allows developers to integrate ChatGPT into their own applications, products, or services. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. Learn more about ChatGPT in the blog post.

  6. chatgpt.com › auth › loginChatGPT

    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.

  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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