​[[{“value”:” The StepFun AI team has released Step-Audio 2 Mini, an 8B parameter speech-to-speech large audio language model (LALM) that delivers expressive, grounded, and real-time audio interaction. Released under the Apache 2.0 license, this open-source model achieves state-of-the-art performance across speech recognition, audio understanding, and… Read More »StepFun AI Releases Step-Audio 2 Mini: An Open-Source 8B Speech-to-Speech AI Model that Surpasses GPT-4o-Audio Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Last week, the NVIDIA robotics team released Jetson Thor that includes Jetson AGX Thor Developer Kit and the Jetson T5000 module, marking a significant milestone for real‑world AI robotics development. Engineered as a supercomputer for physical AI, Jetson Thor brings generative reasoning and multimodal… Read More »NVIDIA AI Team Introduces Jetson Thor: The Ultimate Platform for Physical AI and Next-Gen Robotics Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Table of contents Introduction: The Rise of GUI Agents Architecture and Core Capabilities Training and Data Pipeline Benchmarking and Performance Real-World Deployment Conclusion: Toward General-Purpose GUI Agents Image source: Marktechpost.com Introduction: The Rise of GUI Agents Modern computing is dominated by graphical user interfaces… Read More »Alibaba Qwen Team Releases Mobile-Agent-v3 and GUI-Owl: Next-Generation Multi-Agent Framework for GUI Automation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Table of contents Introduction What is Tokenization? What is Chunking? The Key Differences That Matter Why This Matters for Real Applications Where You’ll Use Each Approach Current Best Practices (What Actually Works) Summary Introduction When you’re working with AI and natural language processing, you’ll… Read More »Chunking vs. Tokenization: Key Differences in AI Text Processing Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Table of contents The Problem with “Thinking Longer” The Agentic Approach Infrastructure Challenges and Solutions GRPO-RoC: Learning from High-Quality Examples Training Strategy: From Simple to Complex Breakthrough Results Understanding the Mechanisms Summary The Problem with “Thinking Longer” Large language models have made impressive strides… Read More »Microsoft AI Introduces rStar2-Agent: A 14B Math Reasoning Model Trained with Agentic Reinforcement Learning to Achieve Frontier-Level Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Modern large language models (LLMs) have moved far beyond simple text generation. Many of the most promising real-world applications now require these models to use external tools—like APIs, databases, and software libraries—to solve complex tasks. But how do we truly know if an AI… Read More »Accenture Research Introduce MCP-Bench: A Large-Scale Benchmark that Evaluates LLM Agents in Complex Real-World Tasks via MCP Servers Michal Sutter Artificial Intelligence Category – MarkTechPost