Multimodal Retrieval-Augmented Generation (RAG) at Google I/O 2024

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Learn more about applying Retrieval-Augmented Generation to multimodal use cases by creating a powerful LLM-based workflow and embedding it into existing applications.

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Tags:
Google
developers
pr_pr: ML Core/TensorFlow
Purpose: Learn;
ct:Social First - Interview;
Type: Social Video;
gds:Yes;
Multimodal Retrieval-Augmented Generation
RAG
Google IO
LLM
large language models