Alex Soto is a Director of Developer Experience at Red Hat. He is passionate about the Java world, software automation and he believes in the open-source software model.
Alex has co-authored four books "Testing Java Microservices," "Quarkus Cookbook," "Kubernetes Secrets Management," and "GitOps Cookbook." Additionally, Alex actively contributes to various open-source projects, further fostering collaboration and innovation.
Recognized as a Java Champion since 2017, Alex is an esteemed international speaker, sharing his knowledge and expertise at conferences and events worldwide. He also serves as a radio collaborator at Onda Cero and imparts sessions as a teacher at Salle URL University.
For the latest updates and insights into the Kubernetes and Java world, follow Alex on Twitter (@alexsotob).
A Large Language Model (LLM) is a component of artificial intelligence specifically designed to comprehend and generate text that closely resembles human language based on the input it receives. One common scenario where it finds utility is when it needs to generate Java code to address a problem or create Kubernetes manifests with specific features.
However, LLMs can also be employed with your enterprise code to enhance the customer experience, eliminating the need for customers to navigate through an entire website or improving the search process of on-site documentation
During this session, we will explore how to integrate Quarkus with Large Language Models to establish a novel interaction interface for your users so they feel more human than just clicking across links.
It's important to note that while Quarkus plays a significant role in this discussion, the concepts presented also apply to other Java frameworks.
If you're interested in hands-on experience with Large Language Models and Java, with a focus on practical applications rather than theory, then this session is for you.
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