{"id":22457,"date":"2025-03-28T06:45:04","date_gmt":"2025-03-28T06:45:04","guid":{"rendered":"https:\/\/www.orangemantra.com\/blog\/?p=22457"},"modified":"2025-10-28T07:17:43","modified_gmt":"2025-10-28T07:17:43","slug":"what-is-multimodal-ai","status":"publish","type":"post","link":"https:\/\/www.orangemantra.com\/blog\/what-is-multimodal-ai","title":{"rendered":"What is Multimodal AI? A Business Guide to Its Impact"},"content":{"rendered":"

On March 12, 2025, Google launched Gemma 3. For those who do not know about Gemma 3, it is said to be the most capable multimodal model you can run on a single GPU (Graphics Processing Unit) or TPU (Tensor Processing Unit).<\/span>\u00a0<\/span><\/p>\n

We are not learning about Gemma 3 in this blog. Today\u2019s discussion starts with multimodal AI because, for many, their learning needle gets stuck on multimodal AI. They don\u2019t know what it is or how it differentiates from other AI models.\u00a0<\/span>\u00a0<\/span><\/p>\n

Some also think all AI agents are built on multimodal AI. However, it\u2019s not true, and many functional AI agents exist using single-modality AI. We are here taking an assumption that you have basic knowledge of <\/span>what <\/span>is AI agent?<\/span><\/a><\/p>\n

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Table of Contents<\/p>\n<\/span><\/div>\n