The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

Abstract: Taking the mold polishing machine as the research object, in order to improve the dynamic characteristics of the polishing machine, the vibration characteristics are determined through modal ...

What is this? A complete workflow for fitting Bayesian linear regression models using Pyro, a probabilistic programming library built on PyTorch. Instead of producing a single "best-fit" line, ...

This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured ...