Core Concepts
Natural Language Generation (NLG)
NLG is the subfield of NLP focused on producing human-readable text from structured inputs such as data tables, knowledge graphs, or model representations. Applications include report generation, chatbot responses, and content creation.
Modern LLMs have dramatically advanced NLG quality, producing text that is often indistinguishable from human writing. This capability underlies generative AI products used in marketing, coding, and customer service.
Authority Links
Related Terms
Core Concepts
Natural Language Processing (NLP)
Field focused on enabling computer-human interaction through natural language.
Core Concepts
Natural Language Understanding (NLU)
AI's ability to understand and interpret human language meaning and intent.
Model Components
Large Language Model (LLM)
A transformer-based neural network with billions to trillions of parameters, trained on broad text corpora to predict the next token and able to generate, summarize, classify, and reason over natural language.
Techniques & Methods
Generation
Producing new text, code, or content based on learned patterns and a given input prompt.