DataData
Mini Lab90min
INTERMEDIATE

Building with Open Source AI: A Crash Course

Thanks to open source, in the past year, we’ve seen a fundamental change: developers and enterprises are moving away from proprietary, closed-source models. To save costs, prioritize privacy, and allow for customization, they are building, testing, and deploying their own open models. However, this journey can feel overwhelming. Which foundation model should I use? How do I connect my model to existing data sources or build agentic capabilities to start seeing real value with AI, especially in an already existing Java application?

The key to navigating this emerging path is adopting the flexibility, transparency, and collaboration of open source that many of us are familiar with. We'll walk through the critical aspects of AI feature implementation using LangChain4J, also showing observability (OpenTelemetry), testing (Promptfoo), CI/CD (Tekton) and more. Join us as we get hands-on with language models and use open technologies to control our own AI journey!

Daniel Oh
Daniel OhRed Hat
Cedric Clyburn
Cedric ClyburnRed Hat
Legare Kerrison
Legare KerrisonRed Hat

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Wednesday, May 6, 11:00-12:30
Coding Cafe
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talks.description
Thanks to open source, in the past year, we’ve seen a fundamental change: developers and enterprises are moving away from proprietary, closed-source models. To save costs, prioritize privacy, and allow for customization, they are building, testing, and deploying their own open models. However, this journey can feel overwhelming. Which foundation model should I use? How do I connect my model to existing data sources or build agentic capabilities to start seeing real value with AI, especially in an already existing Java application?

The key to navigating this emerging path is adopting the flexibility, transparency, and collaboration of open source that many of us are familiar with. We'll walk through the critical aspects of AI feature implementation using LangChain4J, also showing observability (OpenTelemetry), testing (Promptfoo), CI/CD (Tekton) and more. Join us as we get hands-on with language models and use open technologies to control our own AI journey!
opensource
models
ai
java
talks.speakers
Daniel Oh

Daniel Oh

Red Hat

United States of America

Java Champion, CNCF Ambassador, Developer Advocate, Technical Marketing, Keynote Speaker, Published Author
Cedric Clyburn

Cedric Clyburn

Red Hat

United States of America

Cedric Clyburn (@cedricclyburn), Senior Developer Advocate at Red Hat, is an enthusiastic software developer with a background in Kubernetes, DevOps, and container tools. Focused on open-source software, he both contributes (e.g., Podman, vLLM) and enjoys speaking, with prior experience at Devoxx, WeAreDevelopers, The Linux Foundation, and more. Cedric also spends (too much) time creating video and written content helping developers learn new topics in emerging technologies, with over 2M+ views online. He’s based in New York City and is an organizer of the local Kubernetes Community Day.
Legare Kerrison

Legare Kerrison

Red Hat

United States of America

Legare Kerrison is an Open Source Engineer and Developer Advocate on Red Hat's AI team. She focuses on open source tools for building and deploying AI. Currently, she works with projects like vLLM and Podman desktop. She aims to make technical complexity digestible. She loves matcha and the outdoors. Based in Boston.

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