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 →Category: Emerging Technologies
Emerging technologies include a variety of technologies such as educational technology, information technology, nanotechnology, biotechnology, cognitive science, psychotechnology, robotics, and artificial intelligence.
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 →Automated Code Generation with Microsoft AutoGen: Building AI-Powered Development Teams
📖 Part 3 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 2Part 4 → Building on communication patterns from Part 2, we now apply them to automated code generation—one of the most powerful applications of multi-agent systems. […]
Read more →Cloud-Native AI Architecture: Patterns for Scalable LLM Applications
Cloud-Native AI Architecture: Patterns for Scalable LLM Applications Expert Guide to Building Scalable, Resilient AI Applications in the Cloud I’ve architected AI systems that handle millions of requests per day, scale from zero to thousands of concurrent users, and maintain 99.99% uptime. Cloud-native architecture isn’t just about deploying to the cloud—it’s about designing systems that […]
Read more →MLOps vs LLMOps: A Complete Guide to Operationalizing AI at Enterprise Scale
Understand the critical differences between MLOps and LLMOps. Learn prompt management, evaluation pipelines, cost tracking, and CI/CD patterns for LLM applications in production.
Read more →Agent Memory and State Management: Building Persistent AI Agents
Building agents without memory is like building amnesiac assistants. After implementing persistent memory across 8+ agent systems, task completion improved by 60%. Here’s the complete guide to building agents that remember. Figure 1: Agent Memory Architecture Why Agent Memory Matters: The Cost of Amnesia Agents without memory face critical limitations: No context: Can’t remember previous […]
Read more →