WEBINAR "Building Multimodal Question-Answering (RAG) system with Gemini"

Pre-registration is REQUIRED.
Add to your calendar - https://hubs.li/Q02NhwLy0

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.

Speaker's bio: Lavi Nigam, ML Engineering, DevRel at Google Cloud
Lavi Nigam is a Machine Learning Engineer and ML Advocate at Google, focused on bringing Gemini, Google's 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.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/