The article discusses the emerging concept of multimodal AI models, which can process and learn from different types of data simultaneously. Traditional models are limited to single modalities, but advancements like BLIP-2 and technologies from OpenAI and Meta are changing this landscape. These models enhance user experiences in diverse applications such as search engines and customer support. A practical case study using BLIP-2 and Gemini illustrates how these technologies can create a multimodal fashion search agent, showcasing their potential in various industries.
Multimodal models like BLIP-2 and Gemini enable advanced AI applications by processing and understanding various types of data, such as text and images simultaneously.
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