Secure Orchestration

Talk

How We Built it: LangSmith Engine

Abstract

Steffen will walk through LangSmith Engine—an agent that analyzes traces, identifies recurring failure patterns, and suggests concrete next steps. He’ll cover its architecture and how teams operationalize the agent-improvement loop.

Talk

From Open Model to Open Multimodal: Building Apertus 1.5

Abstract

Apertus 1.5 extends the open language-model initiative into a fully open multimodal foundation model spanning vision and audio. Its multimodal understanding comes directly from the LLM backbone, trained on discrete multimodal tokens rather than external encoders. The talk covers the team, journey, key ideas, and lessons learned.

Talk

Now We Keep Agents Honest

Abstract

Rebuilding a 15-year-old code-analysis company for the agentic era—and the three things that bit the team along the way.

Talk

How to Train a Frontier LLM with RL

Abstract

RL has driven many recent LLM intelligence gains, but its techniques remain poorly understood. Based on training SID-1, an agentic search model, this talk explores the infrastructure, challenges, data, and practical limits of reinforcement learning for frontier LLMs.

Talk

Securing AI Agents — Workshop

Abstract

AI agents can call APIs, execute workflows, and act on behalf of users. But who controls what those agents are actually allowed to do? Join Roman for a hands-on workshop exploring how Auth0 secures AI-powered systems and automated workflows.