The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like ...

Universal noise model for superconducting quantum chips achieving 4.7-12.6× accuracy improvement over traditional methods through cross-platform parameter optimization.

This repository contains the modules implementing a Machine Learning-based solution for optimizing the execution of dislib algorithms. In particular, a stacked classification model is leveraged to ...

ROSWELL, Ga. — A Roswell couple came home from vacation to an unsettling surprise — a four-foot python hiding under their deck. “I saw it out of the corner of my eye, and I look over, and it’s right ...

Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀🐍 ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning. Russian lawmaker issues ...

Meta AI has released Llama Prompt Ops, a Python package designed to streamline the process of adapting prompts for Llama models. This open-source tool is built to help developers and researchers ...

Abstract: Optimizing Python code is essential for enhancing performance and efficiency. This project investigates the use of large pre-trained language models, specifically GPT (Generative Pre-trained ...