Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Welcome to Python Physics Lesson 13, where we explore how two masses interact via a spring. In this lesson, we break down the physics of spring-mass systems and demonstrate how to simulate their ...

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

In celebration of Mayor Angelo Alonte’s 100th Day in Office, the Biñan City Studies Center officially reopened. The shared advocacy for education of Mayor Alonte and Congressman Atty. Arman Dimaguila ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.