Let’s create a tiny AI library together

Abstract

We all want to it. When you want to integrate AI into your tools, what do you do? You add langchain4j or spring-ai and run with it. But do you know how these libraries interact with the AI service providers or your local ollama instance?

These libraries aren’t magic, so let’s peek behind the curtain and write a tiny AI library together. This way you’ll discover the REST APIs that power it all.

Der Vortrag wird auf Deutsch stattfinden. => Weitere Informationen

Speakers

Johannes Bechberger ( in/johannes-bechberger) is a JVM developer working on profilers and their underlying technology in the SapMachine team at SAP. This includes improvements to async-profiler and its ecosystem, a website to view the different JFR event types, and improvements to the FirefoxProfiler, making it usable in the Java world. He started at SAP in 2022 after two years of research studies at the KIT in the field of Java security analyses. His work today is comprised of many open-source contributions and his blog (https://mostlynerdless.de/), where he writes regularly on in-depth profiling and debugging topics, and of working on his JEP Candidate 435 to add a new profiling API to the OpenJDK.

Sponsor

Die Firma QAware stellt uns die Räumlichkeiten zur Verfügung und sorgt für unser leibliches Wohl. Vielen Dank dafür. Der übliche Abstecher in den Hotzenplotz nach dem Vortrag entfällt somit - wir bleiben einfach vor Ort!