Large Language Model

Term	Definition
Large Language Model	A form of AI that utilizes deep learning algorithms to create models (see machine learning model) pre-trained on massive text datasets for the general purpose of language learning to analyze and learn patterns and relationships among characters, words and phrases. There are generally two types of LLMs: generative models that make text predictions based on the probabilities of word sequences learned from its training data (see generative AI) and discriminative models that make classification predictions based on probabilities of data features and weights learned from its training data (see discriminative model). The term "large" generally refers to the model's capacity measured by the number of parameters and to the enormous datasets that it is trained on. Source: iapp Key terms for AI Governance Glossary Synonyms: LLL

Term

Definition

A form of AI that utilizes deep learning algorithms to create models (see machine learning model) pre-trained on massive text datasets for the general purpose of language learning to analyze and learn patterns and relationships among characters, words and phrases. There are generally two types of LLMs: generative models that make text predictions based on the probabilities of word sequences learned from its training data (see generative AI) and discriminative models that make classification predictions based on probabilities of data features and weights learned from its training data (see discriminative model). The term "large" generally refers to the model's capacity measured by the number of parameters and to the enormous datasets that it is trained on.

Source: iapp Key terms for AI Governance Glossary

Synonyms: LLL

Large Language Model

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