Dmitry Bagaev

Dr. Dmitry Bagaev - TU/e, former CTO of Lazy Dynamics

Keep Calm and Trust AI

Abstract: Large language models are powerful, but when asked for facts or numerical answers, they can hallucinate with surprising confidence. In this talk, we take a different approach: instead of asking an LLM to guess, we let it orchestrate real probabilistic inference. Using RxInfer and an MCP server, we connect a language interface to a Bayesian linear regression model running on an actual dataset. The LLM translates user intent into structured computation, the regression model performs principled inference, and the result is grounded in data—not generated from patterns alone. You’ll see how combining probabilistic programming with tool calling creates AI systems that are transparent, verifiable, and dramatically more reliable. Sometimes, the best way to trust the AI is to make sure it does the math.

Biography: Senior software engineer and PhD researcher with a strong mathematical foundation and expertise in software development, machine learning, and data science. Brings a unique blend of academic rigor and hands-on industry experience, with a proven track record of leading technical teams, designing complex systems, and translating cutting-edge research into practical applications.

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