📣 Calling all AI builders in Munich!

Julie Wise — Thu, 16 Apr 2026 10:15:35 +0000

Weights & Biases 🇩🇪 team are back in Munich with AppliedAI on Thursday, April 23rd at House of Communications presenting how to build enterprise AI platforms at scale.

The event is perfect for anyone building, scaling, and operationalising production AI systems, aligning governance and compliance or accountable for AI strategy and outcomes.

Whether you are scaling a mature AI platform, building an AI governance framework from scratch, or working out how to make production AI repeatable across teams, the evening offers directly applicable insights across every stage of the AI journey.

More info and registration: https://luma.com/2026apr-munich

Munich AI Meetup, 25 March

Julie Wise — Mon, 23 Mar 2026 17:53:15 +0000

Join us for an evening dedicated to building practical, production-grade AI applications. Weights & Biases and JetBrains are bringing together machine learning engineers, software developers, MLOps practitioners, and AI builders to explore how modern developer tooling, experiment tracking, evaluation workflows, and scalable infrastructure help turn prototypes into reliable, production systems.

Date: Wednesday, 25 March
Location: JetBrains' offices, Munich
Registration: https://luma.com/2026-Munich-JetBrains

Expect technical depth, live demos, and real-world lessons on topics like experiment tracking at scale, debugging and evaluating LLM-based applications, and bridging the gap from notebooks to deployed AI features.

Who should attend:

AI/ML engineers
Platform teams
Software developers
Anyone pushing AI innovation into real-world products

Featured Session from Weights & Biases:

Serverless Reinforcement Learning for Specialized LLMs
Discover how Serverless Reinforcement Learning (RL) can unlock advanced reasoning for specialized models — dramatically reducing infrastructure overhead and training latency while replacing slow general-purpose models with fast, intent-aligned AI agents.Featured

Session from JetBrains:

AI Agents in the JVM World
The first frameworks for building AI agents primarily targeted Python and JavaScript, leaving the JVM ecosystem behind. But in just a year, the landscape changed dramatically. New JVM-based agentic frameworks such as LangChain4j, Koog, Spring AI, and Embabel have entered the scene. In this talk, Maria Tigina shares the JetBrains journey from Python-based agents to Kotlin, which ultimately led to the release of Koog. She’ll explore the advantages and trade-offs of building AI agents on the JVM, and look at real examples where strong domain modeling and type safety play a crucial role in making AI agents more stable, interpretable, and production-ready.

Forem: Julie Wise

📣 Calling all AI builders in Munich!

Munich AI Meetup, 25 March