Natural language processing is the field of AI that lets software understand, analyse and generate human language, in written text or in speech. Chatbots, email triage, sentiment analysis of product reviews and speech-to-text transcription in contact centres are everyday uses.
A large language model (LLM) is a neural network trained on very large amounts of text to predict and generate language. It powers chat assistants, summarisers, coding tools and AI agents.
An NLP engineer builds software that understands, extracts from or generates human language, using classic NLP and large language models. They turn text and speech data into reliable product features.
Conversational AI is technology that lets people interact with software through natural dialogue, in text or voice. Chatbots, voice assistants and AI support agents are common examples.
Named entity recognition is the task of finding and labelling specific things in text, such as people, companies, places, dates, amounts or product codes. It turns free text into fields a system can store and search.
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