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

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

    2. Define your target audience. The more context you can provide in your prompt, the better—and this includes who might read ChatGPT's responses. For example, if you use ChatGPT to outline a ...

  3. Generative pre-trained transformer - Wikipedia

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

    History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. 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.

  4. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    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.

  5. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    According to one user, who had access to a private early release of the OpenAI GPT-3 API, GPT-3 was "eerily good" at writing "amazingly coherent text" with only a few simple prompts. In an initial experiment 80 US subjects were asked to judge if short ~200 word articles were written by humans or GPT-3.

  6. ChatGPT in education - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_in_education

    ChatGPT serves multiple educational purposes, including providing topic overviews, generating ideas, and assisting in drafting. [2] A 2023 study highlighted its greater acceptance among professors compared to students. [1] Moreover, chatbots show promise in personalized tutoring.

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  8. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [14] of large language models. In-context learning itself is an emergent property of model scale, meaning breaks [15] in downstream scaling laws occur such that its ...

  9. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.

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