Transformer architectures are designed to identify and model complex relationships and long-range dependencies within data sequences, which allows LLMs to recognize not only individual signs (words) but also complex syntactic, stylistic, and rhetorical configurations (codes and subcodes).

Authors

• Person: Not available Organization: arXiv
  Not Minds, but Signs: Reframing LLMs through Semiotics - arXiv

Sources

• Not Minds, but Signs: Reframing LLMs through Semiotics - arXiv arxiv.org arXiv via serper

Referenced by nodes (1)

• Large Language Models concept