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  1. 30 de nov. de 2022 · ChatGPT is a text-based AI assistant that interacts in a dialogue format and can answer followup questions, admit mistakes, and reject inappropriate requests. It is a sibling model to InstructGPT, which follows instructions in a prompt. Try it for free at chat.openai.com.

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

    Learn about the different models available in the OpenAI API, including ChatGPT, a multimodal model that can generate and respond to text and images. Compare the features, prices, and performance of GPT-4o, GPT-4 Turbo, GPT-3.5 Turbo, and more.

  3. 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. Create and use custom GPTs

  4. 13 de mai. de 2024 · GPT-4o is our newest flagship model that provides GPT-4-level intelligence but is much faster and improves on its capabilities across text, voice, and vision. Today, GPT-4o is much better than any existing model at understanding and discussing the images you share.

  5. en.wikipedia.org › wiki › ChatGPTChatGPT - Wikipedia

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

  6. 30 de jan. de 2023 · ChatGPT is an extrapolation of a class of machine learning Natural Language Processing models known as Large Language Model (LLMs). LLMs digest huge quantities of text data and infer relationships between words within the text. These models have grown over the last few years as we’ve seen advancements in computational power.

  7. 6 de abr. de 2023 · ChatGPT is a powerful language model that can generate responses for any sequence of characters. Learn how it uses a Transformer architecture with self-attention to process and understand input text, and how it was trained on a large dataset.

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