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  2. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 62 ]

  3. ChatGPT in education - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_in_education

    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 corresponds to a word, subword or punctuation). This pre-training enables them to ...

  4. 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 ...

  5. Glossary of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_artificial...

    generative pretrained transformer (GPT) A large language model based on the transformer architecture that generates text. It is first pretrained to predict the next token in texts (a token is typically a word, subword, or punctuation). After their pretraining, GPT models can generate human-like text by repeatedly predicting the token that they ...

  6. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning. [24] In-context learning is an emergent ability [25] of large language models.

  7. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot 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. [2]

  8. 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. [20] In an initial experiment 80 US subjects were asked to judge if short ~200 word articles were written by humans or GPT-3.

  9. 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 ...

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