As we move through 2026, the paradigm of AI evaluation has shifted unnaturally. We are no longer asking "How human-like is this conversation?" Instead, we are asking "How effectively does this agent complete complex tasks?" The shift from simple generative chatbots to Agentic AI means we need a new set of benchmarks. It’s no longer just about recommending a travel destination; it’s about an agent that can actually bespeak a hostel, manage a budget in Excel, and create an itinerary without mortal intervention. Table of Contents 1. Prologue: Why We Must Estimate 'Prosecution' Over 'Discussion' 2. Key Metric 1: Success Rate (SR) and Absoluteness 3. Key Metric 2: Logic & Planning Capacities 4. Key Metric 3: Tool Use & API Call Accuracy 5. Particular Perceptivity: The 'Sense' of an Agent Beyond Figures 6. Specialized Deep Dive: Modern Agent Benchmarks (AgentBench, GAIA) 7. Conclusion: The Future of Evaluation for Human-Agent Coexistence 1....

If you have ever erected an AI agent using a Large Language Model (LLM), you have probably hit a frustrating wall: the "Goldfish Memory" problem. No matter how advanced GPT-4 or Claude 3.5 are, their "environment window" is eventually a temporary workspace. Once the session ends, or the discussion gets too long, the agent loses the thread. In my times of developing AI-driven systems, I’ve realized that the difference between a "cool rally" and a "product-ready agent" lies in its Long-Term Memory (LTM). Moment, I’ll partake my trip and a specialized deep dive into erecting this memory using Pinecone and Milvus. Table of Contents 1. The Architecture of AI Memory: Why LLMs Need a Hippocampus 2. The Core Machine: Understanding Vector Databases 3. Pinecone vs. Milvus: A Severely Honest Comparison 4. Strategic Blueprint: Designing the Memory Pipeline 5. Hands-on Perpetration: Python Code Walkthrough 6. Assignments Learned: My Particular "Post-Mort...

Explore how the community of Agentic AI and Multimodal AI is creating" Digital workers" and revolutionizing global business  robotization. Discover 2026  request trends and  crucial players.  Introduction: The Era of Agentic and Multimodal AI At the vanguard of AI technology, the combination of Agentic AI and Multimodal AI is signaling a revolutionary shift that goes far beyond simple specialized evolution. This post explores the "perfect automation" scenarios created by the synergy of these two technologies, analyzes current market trends, and dives deep into the core elements we must watch moving forward. Table of Contents 1. Agentic AI The Birth of the" Digital Employee"   2. Multimodal AI Perceiving and Communicating Like a mortal   3. The Explosion of Synergy Realizing Perfect robotization   4. 2026 Market Trends and Key Players   5. Challenges and Future Outlook   6. Core Summary   7. constantly Asked ...