DeepEyesV2: Revolutionizing multimodal AI with agentic reasoning tools
7 days ago 高效码农DeepEyesV2: Building an Agentic Multimodal Model Enabling AI to Not Just “See” but Integrate Visual Information into Reasoning Logo inspired by the oracle bone character for “eye”. What is DeepEyesV2? As OpenAI noted in a related article: “They don’t just see an image, they can integrate visual information directly into the reasoning chain.” DeepEyesV2 embodies this concept—it is an agentic multimodal model that unifies code execution and web search within a single reasoning loop, enabling reliable and complex problem-solving. In simple terms, DeepEyesV2 functions like an intelligent assistant with visual capabilities. It can understand both text and images, and solve …
Jan-v1-4B Local AI Deployment: Master Agentic Models on Your Hardware
3 months ago 高效码农Jan-v1-4B: The Complete Guide to Local AI Deployment 🤖 Understanding Agentic Language Models Agentic language models represent a significant evolution in artificial intelligence. Unlike standard language models that primarily generate text, agentic models like Jan-v1-4B actively solve problems by: Breaking down complex tasks into logical steps Making autonomous decisions Utilizing external tools when needed Adapting strategies based on real-time feedback Developed as the first release in the Jan Family, this open-source model builds upon the Lucy architecture while incorporating the reasoning capabilities of Qwen3-4B-thinking. This combination creates a specialized solution for computational problem-solving that operates efficiently on consumer hardware. ⚙️ …
Generative AI vs Agentic AI vs AI Agents: 2025 Technical Comparison & Business Impact
6 months ago 高效码农Generative AI vs. Agentic AI vs. AI Agents: Technical Breakdown and Business Applications (2025 Update) TL;DR Summary Key Insights Clear Technical Boundaries: Generative AI creates content (87% market penetration), Agentic AI plans tasks (42% annual enterprise adoption growth), and AI Agents execute actions (60% industrial automation coverage). Synergy Matters: Combined use improves task efficiency by 3-5x (MIT Human-Machine Collaboration Report 2024). Functional Limitations: Isolated systems face 47% performance gaps (Gartner Hype Cycle). Business Value: Integration reduces operational costs by 31% (McKinsey Automation Whitepaper). How to Accurately Distinguish These AI Technologies? Problem Statement 68% of enterprises misclassify AI systems during deployment …