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| Name | How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini |
| Video Uploader | Video From Google for Developers |
| Upload Date | This Video Uploaded At 16-05-2024 14:05:26 |
| Video Discription | The saying ""a picture is worth a thousand words"" encapsulates the immense potential of visual data. But most retrieval-augmented generation (RAG) applications rely only on text. This session applies RAG to multimodal use cases. It focuses on embeddings and attributed question answering to retrieve data. We’ll begin with a high-level architecture and quickly dive into a practical demo. Attendees will learn to create powerful LLM-based workflows and embed them in existing applications. Speakers: Shilpa Kancharla, Jeff Nelson Resources: Try Gemini in Vertex AI → https://goo.gle/3Vttolh Watch more: Check out all the AI videos at Google I/O 2024 → https://goo.gle/io24-ai-yt Check out all the Cloud videos at Google I/O 2024 → https://goo.gle/io24-cloud-yt Subscribe to Google Developers → https://goo.gle/developers #GoogleIO Event: Google I/O 2024 |
| Category | Science & Technology |
| Tags | Google | developers | pr_pr: Google I/O; | ct:Event - Technical Session; | ct:Stack - AI; | ct:Stack - Cloud; |
