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Berlin PyData 2025 Conference Interviews

Sep 26, 2025
In this engaging discussion, Selim Nowicki, founder of Distill Labs, shares how they're making specialized LLMs faster and more accessible through knowledge distillation. Yashasvi Mishra, a data engineer at Pure Storage, emphasizes the importance of explainable AI, focusing on accountability and compliance in real-world applications. Mehdi Ouazza, a developer advocate at MotherDuck, talks about leveraging creative content and workshops to drive the adoption of open-source tools like DuckDB.
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INSIGHT

Combining LLMs With Knowledge Graphs

  • Igor Kvachenok combines LLMs with RDF knowledge graphs to extract structured data from semi-structured industry documents.
  • He finds a simple graph-RAG approach works robustly compared to using raw LLM outputs.
INSIGHT

MLOps Is Evolving Toward LLMs

  • Procube builds an MLOps platform on Kubernetes and Kubeflow for training, inference and fine-tuning.
  • Igor sees MLOps shifting toward LLM-focused workflows rather than disappearing entirely.
ANECDOTE

Pain Of Setting Up MLOps Infrastructure

  • Igor recalls painful experiences setting up KServe and debugging Knative dependencies while building MLOps platforms.
  • He notes solving such problems repeatedly builds intuition that makes future setups easier.
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