Language Model

A statistical engine that predicts the next token in a sequence to simulate human reasoning and text generation.

Language models (LMs) leverage neural architectures like the Transformer to map high-dimensional relationships between words. By training on massive datasets (such as the 45-terabyte Common Crawl), these systems learn syntax, semantics, and logic through next-token prediction. Modern iterations like GPT-4 or Claude 3.5 Sonnet utilize billions of parameters to execute complex tasks: writing Python scripts, summarizing legal briefs, or translating idiomatic expressions. They serve as the core intelligence layer for RAG (Retrieval-Augmented Generation) pipelines and autonomous agents.

https://arxiv.org/abs/1706.03762