Multimodal Models in Generative AI
Discover multimodal AI models that combine multiple data types like text, images, audio, and video for richer understanding and natural interaction. Learn how advanced architectures like Google Gemini integrate and process diverse modalities to improve AI’s reasoning, robustness, and accuracy across various applications.
Consider how you experience the world. You don’t rely only on your eyes: you’re likely seeing, hearing, smelling, and feeling things all at once. Humans naturally combine all five senses to build a rich understanding of what’s happening.
AI, however, was originally built to handle only one type of input at a time: either text or images. That’s called unimodal AI. However, the real world isn’t unimodal, so AI is now shifting toward multimodal systems that can integrate multiple types ...