Multimodal Models in Generative AI
Explore the concept of multimodal AI models that process multiple data types such as visual, auditory, and textual inputs simultaneously. Understand how these models combine different modalities to enhance AI's comprehension, accuracy, and interaction capabilities, and examine real-world examples like Google Gemini that demonstrate advanced multimodal integration and reasoning.
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 ...