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

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

Note that in Windows, this project requires Visual C++ 14.0 as it requires bitarray module which needs C source codes compilation. Finally, as the length of the bit sequence might not be a multiple of ...

Learn how to create beautiful heart string art with this easy step-by-step tutorial! Perfect for home decor or a handmade gift, all you need is a wooden board, nails, and string to craft a unique ...

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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.