Intermediate · Generative AI
Multimodal AI
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. AI systems capable of processing and understanding information from multiple data types, such as text, images, audio, and video, simultaneously.
Technical Definition
AI systems capable of processing and understanding information from multiple data types, such as text, images, audio, and video, simultaneously.
How it works
Multimodal AI aims to mimic human perception by integrating diverse sensory inputs. For example, a multimodal model could analyze an image, its accompanying text description, and a spoken commentary to form a more complete understanding. This capability allows for richer interactions and more sophisticated applications that cross traditional data boundaries.
Related Concepts
- Deep Learning — A subset of machine learning using neural networks with many layers to learn hierarchical representations from large datasets.
- Computer vision — Computer vision enables computers to interpret and understand information from digital images and videos, automating tasks typically done by human sight.
- Data fusion — Combining data from multiple sources to create more accurate and useful information than any single source provides.
- Natural language processing (NLP) — A field of AI enabling computers to understand, interpret, and generate human language.