LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...
As the current paradigm of clinical research is shifting toward data centricity, the utilization of health care data is increasingly emphasized. Objective: We aimed to review the literature on ...
Abstract: This work investigates the problem of direct data-driven control (DDC) for linear systems under stochastic sensor/actuator faults. A fault model obeying Markov chain is firstly constructed ...
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Your Excel regression is probably a mess—here's how Python fixes it
Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
Abstract: We develop the theoretical formulation for a non-intrusive, quadrature-based method for approximate balanced truncation (QuadBT) of linear systems with quadratic outputs, thus extending the ...
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