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World Congress 2026 Europe - Virtual Stage • Jul 3, 2026 • Session details

Why LLMs Need Observability and How to Do It

Rahul Gupta

Traditional dashboards lie because a healthy HTTP 200 means nothing if your LLM hallucinates. Learn how to build true AI observability and measure actual output quality.

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Matching moments

2:36 min

Evaluating LLM applications beyond standard correctness benchmarks

Saloni Garg Saloni Garg · World Congress 2026 North America

1:14 min

Evaluating AI models using an LLM as a judge

Tomislav Tipurić Tomislav Tipurić +1 · World Congress 2026 North America

2:36 min

Addressing AI observability and cost transparency with Langfuse

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

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Implementing monitoring and observability for AI software deployments

Alejandro Saucedo Alejandro Saucedo · World Congress 2025

1:55 min

Identifying and fixing over-engineered AI calls through observability

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1:38 min

The tracing landscape for AI accountability

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Upcoming sessions on this topic

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