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Why the community is designing this one
Ten years ago, the Toronto Machine Learning Society brought together researchers, practitioners, and enthusiasts to push the boundaries of AI. The people who showed up were curious, technically serious, and uninterested in polish for its own sak...
Evaluation and Testing were the most frequently named constraints in our 2026 TMLS Steering Committee survey.
So our first committee meetings explored how we approach evals, specifically when dealing with uncertain metrics (specifically as they pertain to probabilistic agentic systems).
Here’s Part Tw...
Evaluation and Testing were the most frequently named constraints in our 2026 TMLS Steering Committee survey.
So our first committee meetings explored how we approach evals, specifically when dealing with uncertain metrics (specifically as they pertain to probabilistic agentic systems).