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  1. openai.comOpenAI

    We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission. Quiz me on vocabulary Plan a surf trip to Costa Rica in August Explica por qué el maíz palomitas explota Teach me Mahjong for beginners Explain this code Was mach ich in Berlin wenn es regnet?

  2. Get instant answers, find creative inspiration, learn something new. Explore the GPT store and see what others have made. ChatGPT Plus users can also create their own custom ...

  3. GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style. Input.

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

  5. OpenAI進行 AI 研究的目的是促進和发展 友好的人工智能 (英语:Friendly artificial intelligence) ,使人类整体受益。. OpenAI系統運行在 微軟 基於 Azure 的 超級計算 平台上 [9] [10] [11] 。. 該組織於2015年由 萨姆·阿尔特曼 、 里德·霍夫曼 、 傑西卡·利文斯頓 (英语 ...

  6. OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. Our vision for the future of AGI

  7. 2024年6月1日 · OpenAI进行 AI 研究的目的是促进和发展 友好的人工智能 (英语:Friendly artificial intelligence) ,使人类整体受益。. OpenAI系统运行在 微软 基于 Azure 的 超级计算 平台上 [9] [10] [11] 。. 该组织于2015年由 萨姆·阿尔特曼 、 里德·霍夫曼 、 杰西卡·利文斯顿 (英语 ...

  8. platform.openai.com › playgroundOpenAI Platform

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

  9. The fastest and most powerful platform for building AI products. Build transformative AI experiences powered by industry-leading models and tools. Start building View API pricing.

  10. en.wikipedia.org › wiki › OpenAIOpenAI - Wikipedia

    OpenAI cited competitiveness and safety concerns to justify this strategic turn. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open

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