AREAL: Accelerating Large Reasoning Model Training with Fully Asynchronous Reinforcement Learning
Source: MarkTechPost Introduction: The Need for Efficient RL in LRMs Reinforcement Learning RL is increasingly used to enhance...
From Fine-Tuning to Prompt Engineering: Theory and Practice for Efficient Transformer Adaptation
Source: MarkTechPost The Challenge of Fine-Tuning Large Transformer Models Self-attention enables transformer models to capture long-range dependencies in...
Combining technology, education, and human connection to improve online learning
Source: MIT News – Artificial intelligence MIT Morningside Academy for Design (MAD) Fellow Caitlin Morris is an architect, artist, researcher,...
A sounding board for strengthening the student experience
Source: MIT News – Artificial intelligence During his first year at MIT in 2021, Matthew Caren ’25 received...
Unpacking the bias of large language models
Source: MIT News – Artificial intelligence Research has shown that large language models (LLMs) tend to overemphasize information...
EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs
Source: MarkTechPost The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive...
Celebrating an academic-industry collaboration to advance vehicle technology
Source: MIT News – Artificial intelligence On May 6, MIT AgeLab’s Advanced Vehicle Technology (AVT) Consortium, part of...
OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference
Source: MarkTechPost The Need for Efficient On-Device Language Models Large language models have become integral to AI systems,...
StepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction
Source: MarkTechPost Rethinking Audio-Based Human-Computer Interaction Machines that can respond to human speech with equally expressive and natural...
EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
Source: MarkTechPost Navigating the dense urban canyons of cities like San Francisco or New York can be a...