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Since many applications of NLP rely on capturing the semantic meaning of language, language models constitute a key part of NLP [1]. Along with syntactic and semantic knowledge, these models employ strategies of grammar and production to understand and generate contexts of the textual input, to respond with the complexity, which could be closely compared to human-like movement in language.

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LLMs and Transformers

  • 章节

  • 发表日期：

    2026年

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  • Deepshikha Bhati,
  • Fnu Neha,
  • Angela Guercio,
  • Md Amiruzzaman,
  • Aloysius Bathi Kasturiarachi

摘要

Since many applications of NLP rely on capturing the semantic meaning of language, language models constitute a key part of NLP [1]. Along with syntactic and semantic knowledge, these models employ strategies of grammar and production to understand and generate contexts of the textual input, to respond with the complexity, which could be closely compared to human-like movement in language.