Linguistic Features - What You Need to Know Before Understanding How LLM Thinks Five Layers of Language – Phonetics, Morphology, Syntax, Semantics, Pragmatics – and How LLMs Handle Them
This cluster explores the linguistic and computational underpinnings of Large Language Models (LLMs). It delves into how computers process text, moving from basic tokenization and statistical methods like TF-IDF and Markov chains to more advanced techniques such as Word2Vec for creating numerical representations of words. The analysis also touches upon semiotics, using the theories of Saussure, Peirce, and Derrida to explain why LLMs, while powerful, are not equivalent to human minds. Furthermore, it examines the five layers of language—phonetics, morphology, syntax, semantics, and pragmatics—and how LLMs handle these linguistic structures. AI
IMPACT Explains the foundational concepts behind LLM text processing and linguistic understanding.