Deep Learning with Yacine on MSN

Muon Optimizer for Dense Linear Layers – Newton-Schulz Method with Momentum Explained

Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with ...
Naples Daily News on MSN

Python hunters cash in. Elimination program doles out thousands in prizes in October

Python hunter Donna Kalil came out on top for the second time this year in the monthly competition. She captured 21 snakes.
IEEE

Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction

Abstract: In compressed sensing (CS) MRI, model-based methods are pivotal to achieving accurate reconstruction. One of the main challenges in model-based methods is finding an effective prior to ...
IEEE

Newton Method Based ILC

This chapter covers the Newton method that lends itself to iterative learning control (ILC) design in an algebraic setting and permits a direct extension of the lifting approach from linear to ...
GitHub

NLP---Prompting-Strategies-for-Mathematical-Reasoning

This project implements advanced prompt engineering techniques for improving mathematical reasoning in Large Language Models (LLMs) using the GSM8K dataset. . ├── task1_baseline.py # Task 1: Baseline ...
GitHub

GID: GNN-based Item Indexing for LLM-enhanced Recommendation

This repository contains the implementation and reproduction code for "GNN-based Item Indexing for LLM-enhanced Recommendation" (GID). GID proposes a graph neural network (GNN)-driven item indexing ...