Abstract: As known, Artificial Intelligence is based on Machine Learning(ML) and Deep Learning(DL). And improving ML and DL is connected to Loss function in neural networks. In the importance ...

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

In this Python Physics lesson, we explore modeling current as a function of time in RC circuits. Learn how to simulate the charging and discharging behavior of resistors and capacitors using Python, ...

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