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  2. Wikipedia : WikiProject AI Cleanup

    en.wikipedia.org/wiki/Wikipedia:WikiProject_AI...

    v. t. e. Welcome to WikiProject AI Cleanup —a collaboration to combat the increasing problem of unsourced, poorly written AI-generated content on Wikipedia. If you would like to help, add yourself as a participant in the project, inquire on the talk page, and see the to-do list.

  3. ChatGPT in education - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_in_education

    ChatGPT is a virtual assistant developed by OpenAI and launched in November 2022. It uses advanced artificial intelligence (AI) models called generative pre-trained transformers (GPT), such as GPT-4o, to generate text. GPT models are large language models that are pre-trained to predict the next token in large amounts of text (a token usually ...

  4. Wikipedia : Why you shouldn't write articles with ChatGPT ...

    en.wikipedia.org/wiki/Wikipedia:Why_you_shouldn't...

    Wikipedia is an open, collaboratively edited encyclopedia that aims to represent verifiable facts and present a neutral point of view.While AI systems have advanced in natural language generation, using them to automatically generate or contribute entire Wikipedia articles poses some challenges that could undermine Wikipedia's collaborative, factual and neutral standards if not addressed ...

  5. Why you shouldn’t use ChatGPT to write your college essay ...

    www.aol.com/finance/why-shouldn-t-chatgpt-write...

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  6. Wikipedia : Using neural network language models on Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Using_neural...

    GPT-3 trying to write an encyclopedic paragraph about water scarcity in Yemen. With the rise of machine learning, discussions about Wikipedia and AI models are becoming more and more heated. As of December 2022, with the release of ChatGPT for free to the public, AI has shown its potential to either massively improve or disrupt Wikipedia. It is ...

  7. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    OpenAI stated that GPT-3 succeeded at certain "meta-learning" tasks and could generalize the purpose of a single input-output pair. The GPT-3 release paper gave examples of translation and cross-linguistic transfer learning between English and Romanian, and between English and German. [172] GPT-3 dramatically improved benchmark results over GPT-2.

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