# Generative Model The portion of AI technology that pertains to the output/result of processes. Generative models replicate the human faculty of creativity by detecting patterns, correlations, and disjunctions to produce novel outputs/responses. Currently, the major use case of converting text-based inputs into text, visual, and audio outputs; generative models have found incredible applications across various fields of artistic outlets, including short-form copywriting, long-form storytelling, website design, branding, and even oil canvas painting and software code. ChainGPT synthesizes the best qualities in open-sourced models to derive its own unique generative capabilities for its chatbot conversations, smart contract creation, and NFT generation. \--- [**Disclaimer**](/misc/legal-docs/disclaimer.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.chaingpt.org/overview/learn-the-concepts/generative-model.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.