Language models — how does AI learn to understand our language?

Large Language Models (LLMs) have become one of the most groundbreaking achievements in the history of computer science. They allow computers to answer questions, translate texts, summarize documents and hold conversations in natural language.

These are not systems based on predefined rules, but models that learn by analyzing billions of text fragments. They rely on a statistical understanding of language: detecting patterns, relationships, intent and context.

Text is broken down into tokens, which are transformed into numerical vectors (embeddings) describing semantic relationships between concepts. Based on these, the model predicts the most likely responses.