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Large language model - Wikipedia

Source:en.wikipedia.org

This article provides an in-depth exploration of large language models (LLMs), their architecture, training processes, and historical development, focusing on technical aspects and advancements in the field of natural language processing.

Editorial Highlights

  • 01LLMs are trained with self-supervised machine learning on vast amounts of text for natural language processing tasks.
  • 02The transformer architecture, introduced in 2017, revolutionized language modeling by allowing efficient parallelization and handling of longer contexts.
  • 03Recent developments include the rise of open-weight models and multimodal capabilities in LLMs.