Deep Learning with Yacine on MSNOpinion

What Is In-Context Learning in Deep Learning – Simple Explanation

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly ...
Deep Learning with Yacine on MSN

What to Learn for Deep Learning – 3 Clear Roadmaps for Beginners

Get started with deep learning the right way! Here are three practical learning roadmaps to guide beginners through math, ...

The Importance Of Evaluation In The Reinforcement Learning Revolution

We celebrate RL breakthroughs, but behind the hype lies a brittle foundation: evaluation. Without it, progress risks being ...

The Future of Investing: How Artificial Intelligence Is Reshaping Stock Analysis And Portfolio Management

Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...
NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to achieve goals. It is rooted in a stream of ...
SlashGear

Gibson Offers An App For Beginners Learning Guitar - Here's How It Works

It sounds cliché, but there's never really a bad time to start learning something new. Learning a musical instrument comes with a ton of benefits, including faster reaction times, improved motor ...
IEEE

Brain-Inspired Deep Reinforcement Learning for Load Frequency Control of Power Systems With Composite Interference

Abstract: This article proposes a brain-inspired deep reinforcement learning (DRL)-based load frequency control framework for power systems with composite interference of internal noise and external ...
marktechpost

ByteDance Unveils ToolTrain: A New Tool-Integrated Reinforcement Learning RL Framework that Redefines Repo Deep Search

Issue localization involves identifying exact code locations that require modification to fix software problems, a process that often demands significant manual effort from developers, especially in ...
IEEE

Robust Deep Reinforcement Learning for Volt-VAR Optimization in Active Distribution System Under Uncertainty

Abstract: The deep reinforcement learning (DRL) based Volt-VAR optimization (VVO) methods have been widely studied for active distribution networks (ADNs). Most approaches neglect power injection ...