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AI glossary

Multimodal AI

Multimodal AI is artificial intelligence that can understand and work with more than one type of input - such as text, images, and audio - rather than just one.

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In this guide

  1. 1What Multimodal AI means
  2. 2Why Multimodal AI matters

What Multimodal AI means

A "mode" is a type of information: written text, a photo, a sound, a video. Older AI tools handled just one mode. Multimodal AI can take in several at once and connect them, much closer to how people perceive the world.

For example, you could show a multimodal AI a photo of your fridge and ask, in text, "what can I cook with this?" It understands the image and your written question together, then replies with recipe ideas.

Why Multimodal AI matters

Multimodal AI greatly expands what you can build, because real tasks rarely involve text alone. Knowing it is possible helps you design more useful tools.

It lets your tools read documents, images, and screenshots, not just text
It opens up automations for visual tasks like checking photos
Most leading AI models are now multimodal by default
It widens the range of work you can take on with AI

Frequently asked questions

Many are. Leading models behind tools like ChatGPT and Claude can handle text and images together, so you may already be using multimodal AI without realizing it.

More AI terms

Computer VisionA field of AI that lets computers interpret and understand images and video the way people see them.Large Language ModelAn AI model trained on huge amounts of text to understand and generate human language.Machine LearningA branch of AI where computers learn patterns from data instead of being given fixed, explicit rules.Deep LearningA type of machine learning that uses layered neural networks to learn complex patterns from large data.Neural NetworkA computing system loosely modeled on the brain, made of connected nodes that learn patterns from data.Natural Language ProcessingA field of AI focused on helping computers understand, interpret, and generate human language.

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