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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. LLM - Wikipedia

    en.wikipedia.org/wiki/LLM

    LLM may refer to: Large language model , the use of large neural networks for language modeling Master of Laws (Latin: Legum Magister ), a postgraduate degree

  4. Master of Laws - Wikipedia

    en.wikipedia.org/wiki/Master_of_Laws

    A Master of Laws (M.L. or LL.M.; Latin: Magister Legum or Legum Magister) is an postgraduate academic degree, pursued by those either holding an undergraduate academic law degree, a professional law degree, or an undergraduate degree in a related subject.

  5. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1] [2] It learns to represent text as a sequence of vectors using self-supervised learning.

  6. What Is Barbenheimer? The Biggest Movie Event of the Year ...

    www.aol.com/entertainment/barbenheimer-biggest...

    A Breakdown of Every Barbie and Ken From the Barbie . Movie 278 America Ferrera, Simu Liu, Margot Robbie, Issa Rae, Ryan Gosling and Greta Gerwig.

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]

  8. ELIZA - Wikipedia

    en.wikipedia.org/wiki/ELIZA

    A conversation with Eliza. ELIZA is an early natural language processing computer program developed from 1964 to 1967 [1] at MIT by Joseph Weizenbaum. [2] [3] Created to explore communication between humans and machines, ELIZA simulated conversation by using a pattern matching and substitution methodology that gave users an illusion of understanding on the part of the program, but had no ...

  9. Global workspace theory - Wikipedia

    en.wikipedia.org/wiki/Global_Workspace_Theory

    Stanislas Dehaene extended the global workspace with the "neuronal avalanche" showing how sensory information gets selected to be broadcast throughout the cortex. [12] Many brain regions, the prefrontal cortex, anterior temporal lobe, inferior parietal lobe, and the precuneus all send and receive numerous projections to and from a broad variety of distant brain regions, allowing the neurons ...