A successful production AI solution doesn't just consist of a one-off deployment of an AI model. The AI model typically needs to be continuously updated with new data. It needs to be constantly retested and re-deployed. A CI/CD solution for cloud-native applications is already something most organizations have mastered. But how do we implement this process for AI applications? In this talk, we'll show how Red Hat's application portfolio complements OpenShift AI to result in a cohesive, automated AI solution. The talk will also include a demo that attendees can participate in. And maybe you'll bring home a Horalka.

An interactive lecture during which participants will learn the basics of effective prompting when working with ChatGPT. I'll demonstrate two approaches to formulating questions in real-time - simple queries vs. advanced, context-rich prompts. You'll see how different wording affects the quality and accuracy of responses, and you'll get practical tips on leveraging AI's full potential in your projects.