Abstract: We propose a simple and efficient method based on the Particle Swarm Optimization (PSO) algorithm to optimize the near-field microwave wireless power transmission (MWPT) beam. This method ...

Abstract: The Mecanum wheel car (MWC) is increasingly becoming the mainstream automated guided vehicle (AGV) in factory automation, replacing traditional transport vehicles due to its flexibility and ...

This project provides a minimal, easy-to-understand codebase for fine-tuning Large Language Models. Our core philosophy is to explain complex optimization techniques with the simplest possible code.

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...

What is this? This workflow optimizes PyTorch models by rewriting their computation graphs. Instead of changing the model's source code, it operates on a symbolic representation of the model's forward ...

Whenever you launch a game for the first time and head to the graphics settings menu, you may have noticed how it has already made most of the decisions for you. Things like texture quality, shadows, ...