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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. This page lists notable large language models.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
Natural-language processing is also the name of the branch of computer science, artificial intelligence, and linguistics concerned with enabling computers to engage in communication using natural language(s) in all forms, including but not limited to speech, print, writing, and signing.
List of artificial intelligence projects#Natural language processing; Retrieved from "https: ...
Because the agents' evolved language was opaque to humans, Facebook modified the algorithm to explicitly provide an incentive to mimic humans. This modified algorithm is preferable in many contexts, even though it scores lower in effectiveness than the opaque algorithm, because clarity to humans is important in many use cases. [1]
AIML, an XML dialect for creating natural language software agents. [48] Apache Lucene, a high-performance, full-featured text search engine library written entirely in Java. [49] Apache OpenNLP, a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence ...
Pages in category "Tasks of natural language processing" The following 32 pages are in this category, out of 32 total. This list may not reflect recent changes. A.
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. The largest and most capable LLMs are generative pretrained transformers (GPTs).