With the assistance of Natural Language Processing, an AI subdomain through which machines can interpret, analyze, and generate human language, AI learns its understanding of human language.
NLP breaks down language into the simplest forms, such as words, phrases, and sentences, then analyzes their meaning. Some of the techniques used include tokenization, syntactic parsing, and semantic analysis to enable an AI system to process text or speech.
GPT and BERT are two kinds of machine learning models trained on massive amounts of text data that can identify patterns and context and generate human-like responses, translate languages, and even understand emotions expressed in language.