The power of multimodal AI lies in its ability to bridge the gap between traditional, single-source data analysis and a more holistic understanding of the world
It’s through a multi-step process involving the input module, the fusion module and the output module
The race to harness multimodal AI is fierce as tech giants and smaller companies advance their capabilities
Artificial intelligence has transcended science fiction and firmly rooted itself in our reality. We’ve seen incredible progress, moving from deep learning and natural language processing (NLP) to advanced computer vision and now to generative AI.
But the most recent exciting development is multimodal LLMs, which sit at the fascinating intersection of language, voice and vision. Research predicts that by 2028, the multimodal AI industry will soar to $4.5 Bn, a monumental increase that can significantly drive AI adoption.