Build with AI Series III - Getting Started with Multimodal Retrieval Augmented Generation (RAG)

GDG Athlone

🌟 Ready to dive into the next big leap in AI? Join us for the third session in our Build with AI series, where we’ll exp...

Apr 20, 5:00 – 6:00 PM (UTC)

46 RSVP'd

Key Themes

AIAI - GeminiAI - GemmaAI - Vertex AIBuild with AICareer DevelopmentGoogle CloudNetworkingWorkshop / hands-on session

About this event

🌟 Ready to dive into the next big leap in AI?

Join us for the third session in our Build with AI series, where we’ll explore the world of Multimodal Retrieval Augmented Generation (RAG) – an exciting innovation in AI that combines retrieval-based techniques with generative capabilities! 🚀

💡 What is Multimodal RAG?

Multimodal Retrieval Augmented Generation (RAG) is a cutting-edge AI framework that combines the power of retrieval systems with generative AI models to create highly accurate, context-aware, and scalable solutions for real-world challenges. In this session, you’ll discover:

  • 🌐 What is RAG? - Understand the fundamentals of RAG and its role in combining retrieval and generation for AI systems.

  • 📄 How RAG works - Learn about the key components of RAG, including knowledge retrieval, contextual generation, and multimodal capabilities.

  • 🛠️ Applications of RAG - Explore how RAG is transforming industries like search, customer support, and content creation by delivering highly intelligent and contextually relevant outputs.

🔧 Hands-on Lab: Build Multimodal RAG Applications with Google Gemini and AI Studio

You’ll:

  • Learn how to use Google Gemini to build a Multimodal RAG model from scratch.

  • Work with Google AI Studio to train and fine-tune your model for retrieving and generating multimodal content (text, images, and more).

  • Experiment with real-world scenarios to see how RAG can be used to solve complex problems and boost productivity.

  • Explore opportunities to gain access to Google Cloud Skills Boost labs and Cloud credits to GDG Athlone Community Members to enhance your learning experience.

✨ Who Should Attend?

This beginner-friendly session is open to all skill levels and invites:

  • 🎓 Students looking to break into the world of AI and machine learning.

  • 💼 Experienced professionals and AI enthusiasts eager to stay at the forefront of technological advancements.

  • 🛠️ Product development leaders exploring the practical applications of AI in their fields.

  • 🤖 Anyone curious about the future of Artificial Intelligence and Agentic AI!

Speaker

  • Sachin Sadasivan

    Siemens

    Cloud Software Architect

Organizers

  • Sachin Sadasivan

    Siemens

    Organizer

  • David Renton

    Genesys

    GDG Organizer

  • Janet Xiu Shi

    Connectd

    Sr. QA Engineer