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Designing Sequential Multi-Agent Pipelines with Microsoft Foundry
Multi-agent systems are increasingly built as structured workflows rather than single autonomous agents. This article explores a sequential multi-agent pipeline built with Microsoft Foundry, where specialized agents collaborate to validate marketing content using Azure AI Search, MCP tools, and CI/CD deployment patterns designed for production-ready AI systems. Read more
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Optimizing AI Agents for Scale: Triage, Throttle Control, and Model Right-Sizing
FleetMind, an autonomous trucking platform, utilizes Microsoft Foundry to manage telemetry from fleets. At scale, invoking LLM reasoning for every event turned routine signals into… Read more
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From Chatbots to Autonomous Agents: Building an Always-On Risk Platform
The article discusses the evolution of generative AI towards fully autonomous systems capable of continuous decision-making without human prompts. It highlights an autonomous risk platform… Read more
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Deploying MCP Servers with Azure Container Apps
In this article, we explore how to deploy and run multiple Model Context Protocol (MCP) servers using Azure Container Apps. We’ll demonstrate how to enable… Read more
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The Perfect AI Team: Azure Cosmos DB and Azure App Service
AI advancements are impressive, and their true impact emerges when seamlessly integrated into business processes. Azure Cosmos DB and Azure App Service create the perfect… Read more
Curated Materials
Issue 1 – June 2024
This guide provides essential tips and best practices for managing and optimizing partitioning in Azure Cosmos DB.
Guided Journey – July 2024
Azure Machine Learning
This guide provides a comprehensive walkthrough for using Azure Machine
Learning to build a classification model based on risk data pulled from Azure.
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