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T5 (language model) T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI. Introduced in 2019, [ 1] T5 models are trained on a massive dataset of text and code using a text-to-text framework. The T5 models are capable of performing the text-based tasks that they were pretrained for.
Apache 2.0. Website. arxiv .org /abs /1810 .04805. Bidirectional Encoder Representations from Transformers ( BERT) is a language model introduced in October 2018 by researchers at Google. [ 1][ 2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture.
A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.
v. t. e. American government poster created during WWII featuring interrogatives. The Five Ws is a checklist used in journalism to ensure that the "lead" or "lede" contains all the essential points of a story. As far back as 1913, reporters were taught that the lead/lede should answer these questions: [ 1]
A large language model (LLM) is a computational model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification. Based on language models , LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a computationally ...
The general idea of a hierarchy of grammars was first described by Noam Chomsky in "Three models for the description of language". [1] Marcel-Paul Schützenberger also played a role in the development of the theory of formal languages; the paper "The algebraic theory of context free languages" [2] describes the modern hierarchy, including context-free grammars.
The Common European Framework of Reference for Languages: Learning, Teaching, Assessment, [1] abbreviated in English as CEFR, CEF, or CEFRL, is a guideline used to describe achievements of learners of foreign languages across Europe and, increasingly, in other countries. The CEFR is also intended to make it easier for educational institutions ...
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...