For this computer scientist, MIT Open Learning was the start of a life-changing journey
Source: MIT News – Artificial intelligence As a college student in Serbia with a passion for math and...
Tencent AI Researchers Introduce Hunyuan-T1: A Mamba-Powered Ultra-Large Language Model Redefining Deep Reasoning, Contextual Efficiency, and Human-Centric Reinforcement Learning
Source: MarkTechPost Large language models struggle to process and reason over lengthy, complex texts without losing essential context....
Advancing Medical Reasoning with Reinforcement Learning from Verifiable Rewards (RLVR): Insights from MED-RLVR
Source: MarkTechPost Reinforcement Learning from Verifiable Rewards (RLVR) has recently emerged as a promising method for enhancing reasoning...
NVIDIA AI Researchers Introduce FFN Fusion: A Novel Optimization Technique that Demonstrates How Sequential Computation in Large Language Models LLMs can be Effectively Parallelized
Source: MarkTechPost Large language models (LLMs) have become vital across domains, enabling high-performance applications such as natural language...
This AI Paper Propose the UI-R1 Framework that Extends Rule-based Reinforcement Learning to GUI Action Prediction Tasks
Source: MarkTechPost Supervised fine-tuning (SFT) is the standard training paradigm for large language models (LLMs) and graphic user...
A Beginners Guide to Using Visual Studio Code for Python
Source: MarkTechPost Visual Studio Code (VSCode) is a powerful, free source-code editor that makes it easy to write...
Efficient Inference-Time Scaling for Flow Models: Enhancing Sampling Diversity and Compute Allocation
Source: MarkTechPost Recent advancements in AI scaling laws have shifted from merely increasing model size and training data...
How OpenAI’s o3, Grok 3, DeepSeek R1, Gemini 2.0, and Claude 3.7 Differ in Their Reasoning Approaches
Source: Unite.AI Large language models (LLMs) are rapidly evolving from simple text prediction systems into advanced reasoning engines...
Empowering Time Series AI: How Salesforce is Leveraging Synthetic Data to Enhance Foundation Models
Source: MarkTechPost Time series analysis faces significant hurdles in data availability, quality, and diversity, critical factors in developing...
A Step by Step Guide to Solve 1D Burgers’ Equation with Physics-Informed Neural Networks (PINNs): A PyTorch Approach Using Automatic Differentiation and Collocation Methods
Source: MarkTechPost In this tutorial, we explore an innovative approach that blends deep learning with physical laws by...