Deploying Multi-Agent AI Systems to Production: Scaling AutoGen with Kubernetes

๐Ÿ“– Part 5 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems ๐Ÿ“š Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns โ† Part 4Part 6 โ†’ With RAG-enhanced agents from Part 4, we now deploy multi-agent systems to production using Kubernetes. โ„น๏ธ INFO Single-agent systems are straightforward to deploy. […]

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Building Knowledge-Grounded AI Agents: RAG Integration with Microsoft AutoGen

๐Ÿ“– Part 4 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems ๐Ÿ“š Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns โ† Part 3Part 5 โ†’ Building on code generation from Part 3, we now enhance our agents with knowledge retrieval capabilities. โ„น๏ธ INFO Traditional LLM agents rely solely […]

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Automated Code Generation with Microsoft AutoGen: Building AI-Powered Development Teams

๐Ÿ“– Part 3 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems ๐Ÿ“š Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns โ† Part 2Part 4 โ†’ Building on communication patterns from Part 2, we now apply them to automated code generationโ€”one of the most powerful applications of multi-agent systems. […]

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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 cloudโ€”it’s about designing systems that […]

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