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
Please join us in this on-demand recording. Please share any questions by clicking on the Reply button. If you have not done so already, register to watch here.
#watsonx.ai
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Lana Strazhkova
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