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Webinar

Hands-On Lab Workshop - Retrieval Augmented Generation (RAG) Walk Through

Event Overview

Join us for the Virtual Lab Workshop! During this exclusive session, the host will introduce the Retrieval Augmented Generation (RAG) Walk Through lab. This lab is designed to provide a foundational understanding of RAG and enable participants to perform real-time queries of a Large Language Model (LLM) both with and without RAG. By leveraging external data via RAG, attendees will discover how this approach can significantly benefit their organization. This one-hour event is limited to 30 participants who will have the opportunity to engage in Q&A throughout the session. Attendees are encouraged to actively participate by launching the lab themselves alongside the host for a hands-on experience.

Featured Speaker

Andy Moser

World Wide Technology

Technical Solutions Architect - ATC Solutions Development

Andy Moser is a Technical Solutions Architect on the ATC Solutions Development Team. He is dedicated to the creation of Labs, Proof of Concepts, and Learning Content around Artificial Intelligence solutions.

What to expect

A one-hour virtual workshop focusing on Retrieval Augmented Generation (RAG). We kindly ask that you have your laptop ready to engage in the hands-on lab activities.
  • Introductory Experience: Gain a high-level understanding of how RAG works and its benefits through a guided walkthrough.
  • Genesis of the lab.
  • Challenges and opportunities encountered during the design of the lab.
  • Hands-On Lab: Perform real-time queries of a Large Language Model (LLM) both with and without RAG and see the impact of using external data.
  • Interactive Q&A: Engage with the host and other participants through live Q&A sessions.
  • Practical Applications: Discover how RAG can significantly benefit your organization by enhancing decision-making processes and improving customer engagement.

Goals and Objectives

The goals and objectives of the Live Lab Workshop are designed to provide participants with a comprehensive understanding of Retrieval Augmented Generation (RAG) and its practical applications. During the workshop, attendees will learn how to perform real-time queries of a Large Language Model (LLM) both with and without RAG, enabling them to see firsthand the benefits of using an LLM with external data via RAG. This hands-on experience aims to demonstrate how RAG can significantly enhance organizational capabilities and improve decision-making processes.

Who should attend?

IT Admin's, Managers, anyone interested in getting started with AI

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