As Model Context Protocol evolves into the “USB-C port for AI applications,” connecting AI agents to the world’s tools and data, these authoritative blogs and websites are essential for anyone aiming to leverage MCP for enterprise integration, development, or research. Here’s a list of the top MCP resources you need to follow in 2025 (LIVE):…
Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop expert-like behavior quickly, but often underperforms in generalization compared to reinforcement learning (RL). RL allows models to explore diverse strategies, which leads to stronger generalization….
API testing is a critical part of modern software development, ensuring that digital services remain secure, reliable, and fast. As APIs grow ever more vital across cloud, mobile, enterprise, and microservices ecosystems, the tools to test them must evolve to meet both technical and business needs. Here’s a well-researched guide to the top 12 API…
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 large repositories. Due to its complexity and time-intensive nature, automating this task has become a key research focus. LLM-based agents enable language models to use various tools for dynamic…
Table of contents What Is ProRLv2? Key Innovations in ProRLv2 How ProRLv2 Expands LLM Reasoning Why It Matters Using Nemotron-Research-Reasoning-Qwen-1.5B-v2 Conclusion What Is ProRLv2? ProRLv2 is the latest version of NVIDIA’s Prolonged Reinforcement Learning (ProRL), designed specifically to push the boundaries of reasoning in large language models (LLMs). By scaling reinforcement learning (RL) steps from…
Zhipu AI has officially released and open-sourced GLM-4.5V, a next-generation vision-language model (VLM) that significantly advances the state of open multimodal AI. Based on Zhipu’s 106-billion parameter GLM-4.5-Air architecture—with 12 billion active parameters via a Mixture-of-Experts (MoE) design—GLM-4.5V delivers strong real-world performance and unmatched versatility across visual and textual content. Key Features and Design Innovations…
Context engineering has become a transformative force in moving from experimental AI demos to robust, production-grade systems across various industries. Below are distilled examples and evidence of real-world impact: 1. Insurance: Five Sigma & Agentic Underwriting Five Sigma Insurance achieved an 80% reduction in claim processing errors and a 25% increase in adjustor productivity by…
Nvidia made major waves at SIGGRAPH 2025 by unveiling a suite of new Cosmos world models, robust simulation libraries, and cutting-edge infrastructure—all designed to accelerate the next era of physical AI for robotics, autonomous vehicles, and industrial applications. Let’s break down the technological details, what this means for developers, and why it matters to the…
NuMind AI has officially released NuMarkdown-8B-Thinking, an open-source (MIT License) reasoning OCR Vision-Language Model (VLM) that redefines how complex documents are digitized and structured. Unlike traditional OCR systems, NuMarkdown-8B-Thinking doesn’t just extract text—it thinks about a document’s layout, structure, and formatting before generating a precise, ready-to-use Markdown file. This makes it the first reasoning VLM…
Embodied AI agents that can perceive, think, and act in the real world mark a key step toward the future of robotics. A central challenge is building scalable, reliable robotic manipulation, the skill of deliberately interacting with and controlling objects through selective contact. While progress spans analytic methods, model-based approaches, and large-scale data-driven learning, most…