GPT

How it works

A GPT model generates a response from the instructions and information supplied to it. Developers shape that task with examples, context, and an expected output format. The model is one component of a product; software around it handles retrieval, storage, user interaction, and checks before generated information is accepted.

What you can build

Build summarization tools, conversational assistants, text classification workflows, and software that extracts structured information from documents.

• Support request triage

  Suggest a category and short summary for incoming messages so a team can organize work faster while reviewing unclear or unusual cases themselves.

• Information extraction feature

  Propose structured fields from supplied text, then use application validation and a review interface to catch missing information or values that do not fit.

Things to consider

GPT outputs can be plausible but incorrect. Evaluate representative cases, validate structured results, and select a model according to the task rather than its name.