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Posted: 2025-04-13 17:44:03 UTC
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-04-13 17:45:11 UTC
Verified By
Rollup News
A new short course by Weaviate.io's @sebawita focuses on building multimodal search and RAG systems using contrastive learning to train models that capture semantic similarity across text, images, and audio.
Learn how contrastive learning works.
Add multimodality to RAG systems.
Synthesize information from diverse contexts like text, graphs, tables, and slides.
Integrate image understanding into language models using visual instruction tuning.
Build a multi-vector recommender system using Weaviate’s open-source vector database.
Understanding contrastive learning techniques.
Integrating different modalities (text, images, audio) into a unified search and RAG system.
Synthesizing information from diverse data formats.