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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2][3] developed by OpenAI. Launched in 2022 based on the GPT-3.5 large language model (LLM), it was later updated to use the GPT-4 architecture. ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format ...

  3. You can now use ChatGPT for free without a login - AOL

    www.aol.com/lifestyle/now-chatgpt-free-without...

    There’s no need to register for a login and password, and it’s totally free of charge. They made the announcement on X: We’re rolling out the ability to start using ChatGPT instantly ...

  4. Login - Wikipedia

    en.wikipedia.org/wiki/Login

    A screenshot of the English Wikipedia login screen. In computer security, logging in (or logging on, signing in, or signing on) is the process by which an individual gains access to a computer system or program by identifying and authenticating themselves.

  5. You.com - Wikipedia

    en.wikipedia.org/wiki/You.com

    On December 23, 2022, You.com was the first search engine to launch a ChatGPT-style chatbot with live web results alongside its responses. [25] [26] [12] Initially known as YouChat, [27] the chatbot was primarily based on the GPT-3.5 large language model and could answer questions, suggest ideas, [28] translate text, [29] summarize articles, compose emails, and write code snippets, while ...

  6. OpenAI unveils newest AI model, GPT-4o - AOL

    www.aol.com/openai-unveils-newest-ai-model...

    Free ChatGPT users will have a limited number of interactions with the new GPT-4o model before the tool automatically reverts to relying on the old GPT-3.5 model; paid users will have access to a ...

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    e. Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]

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