Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

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

Replaced the XSL SSP models with those embedded with the pPXF distribution in .npz format. These templates are automatically downloaded by SPAN the first time they are called in the "Stars and gas ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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

This three-day course is designed for researchers, students, and professionals more broadly, and equips participants with the skills to analyse text at scale using quantitative methods, machine ...