Generative AI definition

Generative AI means any type of AI/ML that can be used to create, produce or generate outputs (including text, images, video, audio, code or synthetic data), including from or based on prompts or inputs.

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Generative AI means artificial intelligence or machine learning systems that can generate new content, such as text, images, or other forms of data. These systems are trained on vast datasets and can produce novel outputs by learning patterns and structures from the input data. Generative AI includes models such as GPT (Generative Pre-trained Transformer) that can perform tasks such as understanding and generating natural language.

Generative AI means the class of AI models that emulate the structure and characteristics of input data in order to generate derived synthetic content. This may include images, videos, audio, text, and other digital content.

Examples of Generative AI in a sentence

Integral to the Strategy One platform are Generative AI capabilities that are designed to automate and accelerate the deployment of AI-enabled applications the enterprise.
By seamlessly managing the entire document lifecycle—from digitization to secure storage and retrieval—SENTRA leverages Generative AI and advanced Document Management Systems (DMS) to deliver unparalleled accuracy, efficiency, and operational excellence.
Generative AI Tools (Content Creation) Per Deployment/Licensing $25,000 – $100,000 Solutions for automated report writing, citizen communication, or content marketing.
Any content that is created by Generative AI shall be done only at the direction of and with the editorial review of human beings with editing responsibilities and no such content shall be published without such involvement.
The use of Generative AI tools will be done in a manner that is intended to avoid copyright infringement.

More Definitions of Generative AI

Generative AI an AI System capable of generating content (such as text, code, images, videos and audio).

Generative AI means an AI Technology that can be used to produce or create new content (such as audio, code, images, text, simulations, videos, synthetic data, etc.) that reflects the general characteristics of training data without necessarily duplicating such training data, for example text generation using a large language model. Examples of third-party Generative AI systems include ChatGPT (and its variant Bing Chat), Bard, Stable Diffusion, Midjourney and DALL-E.

Generative AI means AI technology that can create new content through machine learning based on data input. Large Language Models (LLM’s) are a type of Generative AI that have been trained on vast amounts of data, which they use to understand prompts and produce content such as, but not limited to, text, images, videos, or sounds. ChatGPT, Microsoft Copilot, and Perplexity are examples of LLM’s.

Generative AI or “GenAI” means Artificial Intelligence trained on an existing set of data (which can include text, images, audio or video) with the intent to "generate" new data objects when prompted by a user. Generative AI creates new data objects contextually in response to user prompts based only on the data it has already been trained on.

Generative AI has the meaning given to it in Section 11.2.

Generative AI means a machine learning platform used to create digital content such as text, images, audio or video.

Generative AI means any algorithm or model that creates content such as text, images, audio, or video.

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