How a seemingly harmless move to a multi-agent architecture quietly tripled our LLM costs and what actually fixed it.

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A friendly introduction to one of the most powerfull optimization techniques using the uncapacitated facility location problem

The post How Benders Decomposition Works Part I: Optimality Cuts appeared first on Towards Data Science.

Why prediction-driven variable selection misses confounders and how Bayesian Adjustment for Confounding attempts to fix it.

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from custom integrations to a universal standard for tool access

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Using mathematical optimization to solve a pickup-and-delivery problem with time windows.

The post “Los Movimientos”: The Routing Problem That Nearly Broke My Spirit appeared first on Towards Data Science.

The mean keeps making its usefulness felt in all sorts of situations, often in truly non-obvious ways

The post The Most Beautiful Statistic: The History and the Science of the Humble Mean appeared first on Towards Data Science.