Natural Language Generation
The AI capability of producing human-readable text from structured data, internal representations, or prompts. NLG is the output side of language AI — turning machine understanding into human words.
Why It Matters
NLG powers chatbots, automated reports, content creation, and summarization. The quality of NLG determines whether AI text feels natural or robotic.
Example
An AI system converting raw quarterly financial data into a narrative report: 'Revenue grew 15% year-over-year, driven by strong performance in the cloud services segment.'
Think of it like...
Like a sports commentator who turns what they see (data) into an engaging narrative (text) — they do not just state facts but weave them into a coherent story.
Related Terms
Natural Language Processing
The branch of AI that deals with the interaction between computers and human language. NLP enables machines to read, understand, generate, and make sense of human language in a useful way.
Natural Language Understanding
The ability of an AI system to comprehend the meaning, intent, and context of human language, going beyond surface-level word matching to grasp semantics, pragmatics, and implied meaning.
Large Language Model
A type of AI model trained on massive amounts of text data that can understand and generate human-like text. LLMs use transformer architecture and typically have billions of parameters, enabling them to perform a wide range of language tasks.