Evaluating agent performance is harder than evaluating models. After developing evaluation frameworks for 10+ agent systems, I’ve learned what metrics matter and how to test effectively. Here’s the complete guide to evaluating agent performance. Figure 1: Agent Evaluation Metrics Framework Why Agent Evaluation is Different Agent evaluation is more complex than model evaluation: Multi-step reasoning: […]
Read more →Tag: AI Agents
Introduction to Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps (Part 1)
Learn about Microsoft Agent Framework (MAF), the unified open-source SDK for building production-ready AI agents. This comprehensive guide covers the architecture, key features, and how MAF combines the best of Semantic Kernel and AutoGen for enterprise agentic AI development.
Read more →Advanced Multi-Agent Patterns: Workflow Orchestration and Enterprise Integration with AutoGen
📖 Part 6 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 5🎉 Series Complete! With production deployment from Part 5, we now explore advanced enterprise patterns for complex workflows. ℹ️ INFO Advanced patterns address the complexity gap […]
Read more →Deploying Multi-Agent AI Systems to Production: Scaling AutoGen with Kubernetes
📖 Part 5 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 4Part 6 → With RAG-enhanced agents from Part 4, we now deploy multi-agent systems to production using Kubernetes. ℹ️ INFO Single-agent systems are straightforward to deploy. […]
Read more →Beyond Chatbots: Why Agentic AI Is the Most Transformative Technology Shift Since the Cloud
We’ve reached an inflection point in artificial intelligence that most organizations haven’t fully grasped yet. While the world obsesses over chatbots and prompt engineering, a more profound shift is quietly reshaping how software systems operate. Agentic AI—autonomous systems capable of reasoning, planning, and executing multi-step tasks without constant human intervention—represents the most significant architectural transformation […]
Read more →Building Knowledge-Grounded AI Agents: RAG Integration with Microsoft AutoGen
📖 Part 4 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 3Part 5 → Building on code generation from Part 3, we now enhance our agents with knowledge retrieval capabilities. ℹ️ INFO Traditional LLM agents rely solely […]
Read more →