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  2. 10 Critical Steps to Writing ChatGPT Prompts for Beginners - AOL

    www.aol.com/10-critical-steps-writing-chatgpt...

    9. Build a custom GPT. If you have a paid ChatGPT plan, you can build custom GPTs that carry out specific actions. For example, if you regularly need to turn a topic into social media captions ...

  3. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2] [3] [4] developed by OpenAI and launched in 2022. It is based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses, and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [5]

  4. I Let ChatGPT Train Me for a Month—and the Results ... - AOL

    www.aol.com/let-chatgpt-train-month-results...

    Think about picking 3 or 4 of ChatGPT's recommendations for your workout, and don't be afraid to cut any additional accessory moves. You won't lose out on gains—especially since CoachGPT ...

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

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

    This version of ChatGPT is an earlier generation of the software called GPT 3.5, originally released in early 2022. And this open-access version does have a few caveats: For one, you can’t save ...

  6. GPT-4o - Wikipedia

    en.wikipedia.org/wiki/GPT-4o

    GPT-4o mini is the default model for users not logged in who use ChatGPT as guests and those who have hit the limit for GPT-4o. GPT-4o mini will become available in fall 2024 on Apple's mobile devices and Mac desktops, through the Apple Intelligence feature.

  7. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

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