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Senior DevRel at OpenTeams. Writes about data science, MLOps, and open-source tooling.
5 articles
Polars 2.0 runs your lazy queries up to 2.8x faster without code changes. See the new defaults, side by side with Polars 1.x, on real data.
A wrong label or unfair grader can make your LLM app look better than it is. See how Claude Code's build-eval finds these problems in your eval.
I tested LLM reviewer models on meeting summaries to see when they catch hallucinations, when they delete true claims, and how to choose one.
Compare three Python tools for PDF table extraction: Docling, Marker, and LlamaParse. Learn which handles merged cells and multi-level headers best.
Code mode can make local LLM agents more practical, but executing model-written code brings sandboxing back into the architecture.
