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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.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

  3. The Pile (dataset) - Wikipedia

    en.wikipedia.org/wiki/The_Pile_(dataset)

    The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]

  4. AI alignment - Wikipedia

    en.wikipedia.org/wiki/AI_alignment

    In a principal-agent problem, a principal, e.g. a firm, hires an agent to perform some task. In the context of AI safety, a human would typically take the principal role and the AI would take the agent role. As with the alignment problem, the principal and the agent differ in their utility functions.

  5. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.

  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. 23 Of The Creepiest Displays Of Intelligence Seen In Another ...

    www.aol.com/23-creepiest-displays-intelligence...

    Image credits: anon #5. When I was in medschool I was tangentially friends with a guy who never showed up to uni at all. Skipped all lectures, called in sick for all lab and tutorial sessions.

  8. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    A generative LLM can be prompted in a zero-shot fashion by just asking it to translate a text into another language without giving any further examples in the prompt. Or one can include one or several example translations in the prompt before asking to translate the text in question. This is then called one-shot or few-shot learning, respectively.

  9. Fed's Waller still sees rate cuts in 2025 despite Trump ...

    www.aol.com/finance/feds-waller-still-sees-rate...

    Just a few hours later, Trump himself weighed in to flatly deny the story, writing on social media that the story "incorrectly states that my tariff policy will be pared back. That is wrong." That ...

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