Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
Create appealing UIs for Python Apps through the web-technologies HTML, CSS and Javascript, using frameworks like React, Preact and Tailwind CSS for styling. Call Python function and methods from ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
gRPC client/server example in Python including SSL support. The example service implements a simple shopping list back end. Clients can perform the following operations: The test directory contains ...
A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics
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.
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