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Large language model | Definition, History, & Facts | Britannica

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SUBSCRIBESUBSCRIBESUBSCRIBEHomeHistory & SocietyScience & TechBiographiesAnimals & NatureGeography & TravelArts & CultureProConMoneyGames & QuizzesVideosOn This DayOne Good FactDictionaryNew ArticlesHistory & SocietyLifestyles & Social IssuesPhilosophy & ReligionPolitics, Law & GovernmentWorld HistoryScience & TechHealth & MedicineScienceTechnologyBiographiesBrowse BiographiesAnimals & NatureBirds, Reptiles & Other VertebratesEnvironmentFossils & Geologic TimeInsects & Other InvertebratesMammalsPlantsGeography & TravelGeography & TravelArts & CultureEntertainment & Pop CultureLiteratureSports & RecreationVisual ArtsImage GalleriesPodcastsSummariesTop QuestionsLists and StoriesBritannica KidsAsk the ChatbotGames & QuizzesHistory & SocietyScience & TechBiographiesAnimals & NatureGeography & TravelArts & CultureProConMoneyVideoslarge language modelIntroductionUnderlying mechanismsHistoryComplications and concernsReferences & Edit HistoryQuick Facts & Related TopicsImagesTechnologyComputersFacebookXhttps://www.britannica.com/topic/large-language-modelMichael McDonough Michael McDonough was a media team intern at Encyclopaedia Britannica. He is expected to graduate in 2023 from Northwestern University.Britannica Editors Encyclopaedia Britannica's editors oversee subject areas in which they have extensive knowledge, whether from years of experience gained by working on that content or via study for an advanced degree....Historyneural networkThe dictionary sues OpenAI | TechCrunchalgorithmparametersartificial intelligencenatural language processingIs Artificial Intelligence Good for Society?Googlelanguagenuancedneural networkMassachusetts Institute of TechnologyheuristicsneuronsOpenAIefficiencySUBSCRIBE LLMs can be used by computer programmers to generate code in response to specific prompts. Additionally, if this code snippet inspires more questions, a programmer can easily inquire about the LLM’s reasoning. Much in the same way, LLMs are useful for generating content on a nontechnical level as well. LLMs may help to improve productivity on both individual and organizational levels, and their ability to generate large amounts of information is a part of their appeal. Complications and concerns LLMs have a number of drawbacks. The models are incredibly resource intensive, sometimes requiring up to hundreds of gigabytes of RAMprompt engineeringartificial intelligenceknowledge distillationChatGPTMidjourneyalgorithmSee all related contentethicalimplicationsstereotypesdiscriminationbiasedsocial normsmaliciousbolsterfraudtechnologyMichael McDonough

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