Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models
Source: MarkTechPost Policy gradient methods have significantly advanced the reasoning capabilities of LLMs, particularly through RL. A key...
This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model Inference
Source: MarkTechPost Large language models (LLMs), with billions of parameters, power many AI-driven services across industries. However, their...
An anomaly detection framework anyone can use
Source: MIT News – Artificial intelligence Sarah Alnegheimish’s research interests reside at the intersection of machine learning and...
Building networks of data science talent
Source: MIT News – Artificial intelligence The rise of artificial intelligence resurfaces a question older than the abacus:...
Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning in Large Language Models
Source: MarkTechPost While large reasoning models (LRMs) have shown impressive capabilities in short-context reasoning through reinforcement learning (RL),...
Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary Search
Source: MarkTechPost Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making...
This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks
Source: MarkTechPost Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle...
NVIDIA Releases Llama Nemotron Nano 4B: An Efficient Open Reasoning Model Optimized for Edge AI and Scientific Tasks
Source: MarkTechPost NVIDIA has released Llama Nemotron Nano 4B, an open-source reasoning model designed to deliver strong performance...
NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning
Source: MarkTechPost Reasoning capabilities represent a fundamental component of AI systems. The introduction of OpenAI o1 sparked significant...
Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers
Source: MarkTechPost LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization has...