Contrastive Analysis, Error Analysis, Interlanguage - SlideServe
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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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