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

    13 maj 2024 · As measured on traditional benchmarks, GPT-4o achieves GPT-4 Turbo-level performance on text, reasoning, and coding intelligence, while setting new high watermarks on multilingual, audio, and vision capabilities. Text Evaluation. Audio ASR performance. Audio translation performance.

    • GPT-4

      GPT-4-assisted safety research GPT-4’s advanced reasoning...

    • ChatGPT

      Access to GPT-4, GPT-4o, GPT-4o mini. Up to 5x more messages...

  2. openai.com › index › gpt-4GPT-4 - OpenAI

    GPT-4-assisted safety research GPT-4’s advanced reasoning and instruction-following capabilities expedited our safety work. We used GPT-4 to help create training data for model fine-tuning and iterate on classifiers across training, evaluations, and monitoring.

  3. openai.com › chatgpt › overviewChatGPT - OpenAI

    Access to GPT-4, GPT-4o, GPT-4o mini. Up to 5x more messages for GPT-4o. Access to advanced data analysis, file uploads, vision, and web browsing. Access to Advanced Voice Mode. DALL·E image generation. Create and use custom GPTs. $20 / month; Start now (opens in a new window) Limits apply.

  4. 16 maj 2024 · GPT-4o może być przełomowym modelem językowym OpenAI. Rozpoznaje obrazy widoczne przez kamerę, rozumie mowę i potrafi prowadzić rozmowę i tłumaczyć w czasie rzeczywistym.

  5. en.wikipedia.org › wiki › GPT-4oGPT-4o - Wikipedia

    GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2] It can process and generate text, images and audio. [3]

  6. chatgpt.comChatGPT

    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. 13 maj 2024 · GPT-4o in the API supports understanding video (without audio) via vision capabilities. Specifically, videos need to be converted to frames (2-4 frames per second, either sampled uniformly or via a keyframe selection algorithm) to input into the model.

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