Generative AI customer care use case – using retrieval-augmented generation webinar

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The slides are available to download below and please share any of your questions here.

Summary

At this hands-on webinar, you will learn about Retrieval-Augmented Generation (RAG) pattern and how it  can be used to augment the generative capabilities of Large Language Models (LLMs) with your company-specific information, resulting in more contextually relevant responses. We will share a link to IBM’s collection of use cases and demos built using watsox.ai, and demo a few RAG apps from it. Additionally, we will provide an application code for one of the demo applications, enabling you to run and customize it in your local environments.

We’ll do an in depth look at two use cases that demonstrate how to implement RAG using IBM’s Digital Self-Serve Co-Create Experience.

You will learn:

• How to try, test, and use generative AI use cases using the Digital Self-Serve Co-Create Experience

Key speakers

Lana Strazhkova - Senior Product Manager, Build Lab, IBM

Anindya Neogi - Solution Architect, IBM Ecosystem Engineering Build Lab

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