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Artificial Intelligence & Machine Learning vocabulary · Large Language Models

generative AI

Meaning in artificial intelligence & machine learning, with examples

/ˈdʒenərətɪv ˌeɪ ˈaɪ/nounCore term

In artificial intelligence & machine learning, generative AI means: AI systems that create new content, such as text, images, audio, video or code, instead of only sorting inputs into classes or predicting values.

In Turkish: üretken yapay zeka

How it is used

Used for both the technology and the industry around it, and shortened to GenAI in business talk. Companies discuss generative AI features, use cases and policies, while engineers usually prefer more precise words such as LLM or diffusion model.

Example sentences

  1. Legal asked us to write a generative AI policy before the tool goes live.

  2. Most of our generative AI features are built on two external LLM providers.

Common collocations

  • generative AI tools
  • generative AI policy
  • generative AI use case
  • GenAI
  • LLMShort for large language model: a very large neural network trained on huge amounts of text to predict the next token, which lets it answer questions, write, summarize and code.
  • diffusion modelA generative model that learns to remove noise step by step, so it can create new images, audio or video by starting from pure noise and gradually refining it.
  • artificial intelligenceThe field of computer science that builds systems able to do tasks that normally need human intelligence, such as understanding language, recognizing images or making decisions.
  • multimodalAble to work with more than one type of data, such as text, images, audio and video, like a model that can answer questions about a photo.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Large Language Models

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