Natural Language Processing is a branch of
artificial intelligence that enables machines to understand, interpret, and generate human language intelligently, converting text into data that systems can analyze and process, as if it were an intelligent interpreter between machines and people.
NLP systems use
machine learning techniques to "translate" human language into computational representations. NLP helps machines break down text into meaningful units, understand context and intentions, and create relevant responses.
This includes converting
tokens, words and phrases, into
embeddings that capture semantic meaning, allowing
AI models to extract and apply linguistic
patterns during their
training and when the model processes and responds to new queries (the
inferences).
In
large language models, NLP analyzes context, comprehends semantic nuances, and generates coherent responses. An example is ChatGPT, capable of understanding complex questions and producing text that mimics human communication.