Dive into 3D object modeling and projectile motion with Python in Lesson 4! In this tutorial, we guide you step by step through creating 3D visualizations and simulating projectile motion using Python ...

Codebase to test Top-k Attention and Top-theta Attention on Large Language Models using the lm-eval-harness [1] framework, and text generation tasks including HumanEval [2] and LongBench [3] ...

This repository contains the official implementation for the work “Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures”. Large language models (LLMs) are ...

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

Learn how to calculate and plot mathematical functions using a spreadsheet. This tutorial shows step-by-step how to set up formulas, visualize data, and create clear graphs for math and science ...

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.

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...