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  2. Pathfinder (periodicals) - Wikipedia

    en.wikipedia.org/wiki/Pathfinder_(periodicals)

    Paizo Publishing's main Pathfinder periodical product line is its Adventure Paths.A continuation of the concept from Dungeon magazine, which moved to online publication in September 2007, each year's worth of Pathfinder Adventure Path publishes two complete adventure paths in six-issue arcs, [3] with supplementary articles to fill out each 96-page issue.

  3. 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.

  4. Logic learning machine - Wikipedia

    en.wikipedia.org/wiki/Logic_learning_machine

    Logic learning machine (LLM) is a machine learning method based on the generation of intelligible rules. LLM is an efficient implementation of the Switching Neural Network (SNN) paradigm, [ 1 ] developed by Marco Muselli, Senior Researcher at the Italian National Research Council CNR-IEIIT in Genoa .

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    Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.

  6. List of Pathfinder books - Wikipedia

    en.wikipedia.org/wiki/List_of_Pathfinder_books

    Title Date Pages ISBN Format Code Author(s) Link Core Rulebook [1]: August 13, 2009: 576 978-1-60125-150-3: Hardcover PZO1110 Jason Bulmahn: GameMastery Guide [2]: June 23, 2010

  7. BLOOM (language model) - Wikipedia

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

    BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]

  8. 4. Qualifications and Experience

    images.huffingtonpost.com/2013-04-08-ERM.pdf

    Act (CEQA) review, or New York's State Environmental States with Programs Similar to NEPA Theworld’sleadingsustainabilityconsultancy ERM specialist teams have been

  9. Head-driven phrase structure grammar - Wikipedia

    en.wikipedia.org/wiki/Head-driven_phrase...

    Head-driven phrase structure grammar (HPSG) is a highly lexicalized, constraint-based grammar [1] [2] developed by Carl Pollard and Ivan Sag. [3] [4] It is a type of phrase structure grammar, as opposed to a dependency grammar, and it is the immediate successor to generalized phrase structure grammar.