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Artificial Intelligence & Machine Learning vocabulary · Large Language Models

Multimodal

Meaning in artificial intelligence & machine learning, with examples

/ˌmʌltiˈmoʊdl/adjectiveCommon term

In artificial intelligence & machine learning, multimodal means: Able 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.

In Turkish: çok kipli, çok modlu

How it is used

Used before nouns: multimodal model, multimodal input, multimodal search. Each type of data is called a modality. Many current LLMs are multimodal and accept images and audio as well as text.

Example sentences

  1. With a multimodal model, technicians can photograph a broken part and ask what it is.

  2. Our search is now multimodal: users can search with text or with an image.

Common collocations

  • multimodal model
  • multimodal input
  • multimodal search
  • multimodal LLM
  • 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.
  • computer visionThe area of AI that teaches computers to understand images and video, for example recognizing objects, reading text in photos or tracking movement.
  • generative AIAI systems that create new content, such as text, images, audio, video or code, instead of only sorting inputs into classes or predicting values.
  • embeddingA list of numbers (a vector) that represents a word, sentence, image or other item in such a way that items with similar meanings end up close to each other.

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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