Munich AI Meetup Explores Building Practical AI Applications
The Munich AI Meetup on March 25th will bring together AI/ML engineers, software developers, and AI builders to explore modern tooling, experiment tracking, and scalable infrastructure for turning AI prototypes into reliable, production-ready systems.
Why it matters
This meetup highlights the growing importance of productionizing AI and bridging the gap between research and real-world applications.
Key Points
- 1Hosted by Weights & Biases and JetBrains in Munich, Germany
- 2Focus on technical depth, live demos, and real-world lessons
- 3Sessions on serverless reinforcement learning for specialized LLMs and building AI agents on the JVM
- 4Targeted at AI/ML engineers, platform teams, and software developers pushing AI innovation
Details
The upcoming Munich AI Meetup aims to help attendees build practical, production-grade AI applications. The event will cover topics like experiment tracking at scale, debugging and evaluating large language model (LLM)-based applications, and bridging the gap from AI prototypes to deployed features. Featured sessions will explore serverless reinforcement learning for specialized LLMs, as well as the advantages and trade-offs of building AI agents on the Java Virtual Machine (JVM) using frameworks like LangChain4j, Koog, Spring AI, and Embabel. The goal is to equip AI/ML engineers, software developers, and AI builders with the modern tools and workflows needed to turn AI ideas into reliable, production-ready systems.
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