MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks
Source: MarkTechPost The Challenge of Long-Context Reasoning in AI Models Large reasoning models are not only designed to...
ReVisual-R1: An Open-Source 7B Multimodal Large Language Model (MLLMs) that Achieves Long, Accurate and Thoughtful Reasoning
Source: MarkTechPost The Challenge of Multimodal Reasoning Recent breakthroughs in text-based language models, such as DeepSeek-R1, have demonstrated...
HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities
Source: MarkTechPost AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional...
Why Small Language Models (SLMs) Are Poised to Redefine Agentic AI: Efficiency, Cost, and Practical Deployment
Source: MarkTechPost The Shift in Agentic AI System Needs LLMs are widely admired for their human-like capabilities and...
How Latent Vector Fields Reveal the Inner Workings of Neural Autoencoders
Source: MarkTechPost Autoencoders and the Latent Space Neural networks are designed to learn compressed representations of high-dimensional data,...
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...