π Part 4 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems π Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns β Part 3Part 5 β Building on code generation from Part 3, we now enhance our agents with knowledge retrieval capabilities. βΉοΈ INFO Traditional LLM agents rely solely […]
Read more βCategory: Cloud Computing
Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, as with the electricity grid.
Cloud computing is a natural evolution of the widespread adoption of virtualization, Service-oriented architecture and utility computing. Details are abstracted from consumers, who no longer have need for expertise in, or control over, the technology infrastructure “in the cloud” that supports them.[1] Cloud computing describes a new supplement, consumption, and delivery model for IT services based on the Internet, and it typically involves over-the-Internet provision of dynamically scalable and often virtualized resources.[2][3] It is a byproduct and consequence of the ease-of-access to remote computing sites provided by the Internet.[4] This frequently takes the form of web-based tools or applications that users can access and use through a web browser as if it were a program installed locally on their…
Automated Code Generation with Microsoft AutoGen: Building AI-Powered Development Teams
π Part 3 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems π Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns β Part 2Part 4 β Building on communication patterns from Part 2, we now apply them to automated code generationβone of the most powerful applications of multi-agent systems. […]
Read more βMastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration
π Part 2 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems π Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns β Previous: Part 1 Next: Part 3 β Building on the core concepts from Part 1, this article explores the communication patterns that […]
Read more βBuilding Multi-Agent AI Systems with Microsoft AutoGen: A Comprehensive Introduction to Agentic Development
π Part 1 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems π Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns Next: Part 2 β π― What You’ll Learn in This Series Part 1: AutoGen fundamentals, core concepts, and your first multi-agent system Part […]
Read more βBuilding Enterprise AI Applications with AWS Bedrock: What Two Years of Production Experience Taught Me
When AWS announced Bedrock in 2023, I was skeptical. Another managed AI service promising to simplify generative AI adoption? After two years of production deployments across financial services, healthcare, and retail, I’ve learned what actually matters when building enterprise AI applications. AWS Bedrock Enterprise Architecture The Foundation Model Landscape Has Matured The most significant evolution […]
Read more βEvent-Driven Architecture on GCP: Mastering Cloud Pub/Sub for Real-Time Systems
Google Cloud Pub/Sub provides the foundation for event-driven architectures at any scale, offering globally distributed messaging with exactly-once delivery semantics and sub-second latency. This comprehensive guide explores Pub/Sub’s enterprise capabilities. Cloud Pub/Sub Architecture Overview Pub/Sub Architecture: Topics, Subscriptions, and Delivery Guarantees Pub/Sub implements a publish-subscribe pattern where publishers send messages to topics and subscribers receive […]
Read more β