Top 7 Tools for Building Multimodal AI Applications
SMRTR summary
Multimodal large language models (MLLMs) are growing rapidly, with the market projected to reach $4.5 billion by 2028. These AI systems process multiple data types simultaneously, including text, images, and videos. MLLMs have applications in technical report analysis, image-to-text search, and visual question-answering. Leading models like CLIP, ImageBind, Flamingo, GPT-4, Gen2, Gemini, and Claude 3 offer diverse capabilities from image classification to video generation. MLLMs are becoming powerful tools for content creation, analysis, and problem-solving across various domains.
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