AI Seminar (Virtual): Building Multimodal Question-Answering (RAG) system with Gemini


Jul 31, 09:00 AM PDT
  • Virtual () Google
  • 333 RSVP
Description
Speaker

Welcome to the weekly AI virtual seminars, in collaboration with Google. Join us for deep dive tech talks on AI/ML/Data, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Building Multimodal Question-Answering (RAG) system with Gemini
Speaker: Lavi Nigam (Google)
Abstract: In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

Venue:
virtual, join from anywhere.

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide.

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Lavi Nigam (Google)

Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google cutting-edge generative AI model, to enterprises worldwide. He is also actively developing scalable LLMOPs design patterns to help businesses efficiently manage and deploy these powerful models. With over a decade of experience building and scaling ML solutions for diverse organizations, Lavi is your expert guide to harnessing the full potential of AI on Google Cloud.
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