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

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

    Include [how to write ChatGPT prompts] in the title and one subheading. Format each subheading as size H2. Include at least five bullet points under each subheading as part of the outline.

  3. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently 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. [4]

  4. 6 Best ChatGPT Prompts To Find Your High-Income Side Gig - AOL

    www.aol.com/finance/6-best-chatgpt-prompts-high...

    This prompt will help ChatGPT tailor its suggestions to your unique skill set, making the side gig search more personalized and effective. If you were a teacher, this would be the lesson plan ...

  5. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Example of prompt engineering for text-to-image generation, with Fooocus. In 2022, text-to-image models like DALL-E 2, Stable Diffusion, and Midjourney were released to the public. [69] These models take text prompts as input and use them to generate AI art images.

  6. 13 Ways To Use AI To Become a Better Writer - AOL

    www.aol.com/13-ways-ai-become-better-144100048.html

    A number of AI writing tools—including Jasper, Gemini, and ChatGPT—have the ability to generate images. Once you know how to prompt an AI image generator, you can create all kinds of graphics ...

  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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