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  2. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  3. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_Plus

    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. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  5. The future of the internet looks a lot like Reddit - AOL

    www.aol.com/news/reddit-went-weird-corner-every...

    Reddit's growing fast, though, and it's got a lot of room to grow. Marcel Hollerbach, the cofounder and chief innovation officer of Productsup, an e-commerce software company, compared Reddit's ...

  6. 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.

  7. Wikipedia : Wikipedia Signpost/2024-10-19/Recent research

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

    The link works for me right now. In an earlier draft of this review as posted here I had linked to [2] , a link that afterwards turned 404 because one of the authors renamed the file from "recent_wiki_scraper.py" to "run_wiki_scrape.py" two days ago.

  8. Timeline of computing 2020–present - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_computing_2020...

    Articles in science outlets like Nature suggest contemporary viral concerns about hypothetical existential risk of AI "plays into the tech companies' agenda" – partly in the form of 'criti-hype' [104] – and that this "hinders effective regulation of the societal harms AI is causing right now" and in the near-future.

  9. 2023 in science - Wikipedia

    en.wikipedia.org/wiki/2023_in_science

    Further LLM developments during what has been called an "AI boom" include: local or open source versions of LLaMA which was leaked in March, [52] [53] [54] news outlets report on GPT4-based Auto-GPT that given natural language commands uses the Internet and other tools in attempts to understand and achieve its tasks with unclear or so-far ...

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