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

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

    5. Try role-play. You can prompt ChatGPT to take on different personas, such as acting like a doctor or replying in Elvis's voice. While asking ChatGPT to pretend it's a scientist won't make it an ...

  3. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT was released as a freely available research preview, but due to its popularity, OpenAI now operates the service on a freemium model. Users on its free tier can access GPT-4o. The ChatGPT subscriptions "Plus", "Team", and "Enterprise" provide additional features such as DALL-E 3 image generation and an increased usage limit. [16]

  4. 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] [18] 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.

  5. Learn ChatGPT with help from this informative $10 course - AOL

    www.aol.com/learn-chatgpt-help-informative-10...

    TL;DR: As of Feb. 17, you can sign up for the ChatGPT for the Absolute Beginner course for only $9.99 — that's a steal considering its MSRP is $199.You've probably heard all the buzz around ...

  6. The State of the AI Arms Race - AOL

    www.aol.com/finance/state-ai-arms-race-024300638...

    Jeremy Kahn is the AI editor at Fortune Magazine and the author of the new book Mastering AI: A Survival Guide to our Superpowered Future.In this podcast, Motley Fool employee Alex Friedman caught ...

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    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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