Multimodal AI
Multimodal Artificial Intelligence
Multimodal AI can understand or create more than one type of information, such as text, images, audio and video.
Explained simply
Multimodal AI can understand or create more than one type of information, such as text, images, audio and video.
At a glance
- Category
- Concepts
- Difficulty
- Intermediate
- Introduced
- 2020s
Real example
You upload a photo of a broken appliance and ask the AI to explain the visible problem in text.
Why it matters
It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.
Timeline
The ideas behind Multimodal AI begin developing.
Multimodal AI becomes a recognised term or technique.
Research and practical applications increase.
Multimodal AI becomes connected to newer AI systems and products.
Multimodal AI remains relevant in the concepts area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand Multimodal AI.
Was this helpful?
Your feedback helps improve this explanation.