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Posted: 2025-04-13 17:39:15 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 17:39:34 UTC
Verified By
Rollup News
A new short course, Multimodal RAG: Chat with Videos, developed with Intel and taught by Vasudev Lal, focuses on building a multimodal RAG pipeline that can chat about video content using LLaVA and other advanced models.
Building a multimodal RAG pipeline for video content
Using LLaVA to process images and text for predicting outcomes in videos
Employing BridgeTower for joint text-image embeddings
Utilizing LanceDB for storing and retrieving multimodal embeddings
Integrating CLIP's vision transformer with Llama for visual-textual reasoning