AI understands the meaning of human language through Natural Language Processing by breaking it down and analyzing its data. Techniques like tokenization, part-of-speech tagging, and named entity recognition apply in the processing of text in NLP.
GPT and BERT are AI models trained on humongous text datasets, where they learn the patterns in a language, its grammar, and context.
Through machine learning, AI can comprehend the meaning behind words and sentences; it learns to interpret their meaning by seeing them used.
AI has not yet fully appreciated and created the same kind of human language, just beneath the radar of human’s comprehension and thinking.