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  1. Jan 16, 2024 · To install ChatGPT on Windows 11 (or 10), use these steps: Open Microsoft Edge. Open ChatGPT website. Click the Sign in button. Click the Settings and more (three-dotted) button in the top-right corner. Select the Apps submenu. Click the “Install this site as an app” option. Click the Install button.

  2. Apr 24, 2024 · It’s also our best model for many non-chat use cases—we’ve seen early testers migrate from text-davinci-003 to gpt-3.5-turbo with only a small amount of adjustment needed to their prompts. API: Traditionally, GPT models consume unstructured text, which is represented to the model as a sequence of “tokens.” ChatGPT models instead ...

  3. 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.

  4. May 24, 2024 · Step 1: Download an installer of ChatGPT on Mac: The current version is ChatGPT v0.11.0 and the downloaded file is a .dmg file. The download link is. Step 2: Use the universal method to install ChatGPT on your Mac computer.

  5. 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.

  6. openai.com › research › gpt-4GPT-4 | OpenAI

    Mar 14, 2023 · Acknowledgments. We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.

  7. Nov 30, 2022 · ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers. Fixing this issue is challenging, as: (1) during RL training, there’s currently no source of truth; (2) training the model to be more cautious causes it to decline questions that it can answer correctly; and (3) supervised training misleads the model because the ideal answer depends on what the model knows (opens in a new window), rather than what the human demonstrator knows.

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