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New short course: Building Multimodal Search and RAG, by Weaviate's Sebastian Witalec. Contrastive learning is used to train models to map vectors into an embedding space by pulling similar concepts closer together and pushing dissimilar concepts away from each other. This technique is also used to train multimodal embedding models that capture semantic similarity across different modalities like text, images, and audio. These multimodal embeddings can be used to build multimodal search and RAG
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Wenxiaoyan, our new smart search assistant, enables multimodal input and enriched media search as well. You can ask questions in any format—text, images, audio, or documents—and get instant answers. From driving directions to math problems and document insights, Wenxiaoyan delivers results in all forms of rich media, ensuring you get the answers you need. #Baidu #AI #Wenxiaoyan | Baidu Inc
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