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[[Large language model]]s, currently their most advanced form, are a combination of larger datasets (frequently using words [[Web scraping|scraped]] from the public internet), [[feedforward neural network]]s, and [[transformer (machine learning)|transformer]]s. They have superseded [[recurrent neural network]]-based models, which had previously superseded the pure statistical models, such as [[Word n-gram language model|word ''n''-gram language model]].
Small language models are scaled down LLMs that are trained on smaller, private, or proprietary data sets.
== Pure statistical models ==
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