Discover how to build hybrid AI workflows using Azure Foundry Local and Azure AI Foundry Cloud, enabling seamless collaboration between local and cloud-based large language models. This guide walks you through the full setup, configuration, and routing process—based on Microsoft’s official documentation—to help you create scalable, secure, and privacy-focused AI applications. Learn how to synchronize inference workloads, manage model endpoints, and implement hybrid runtime patterns for real-world enterprise scenarios.
Cloud Computing
Mastering Azure Foundry Local: Powerful Features + Comparison with Ollama & Other Local LLM Tools
Explore Azure Foundry Local, Microsoft’s latest on-device AI runtime for running large language models locally. Learn how it compares to Ollama and other local model tools, discover installation and setup steps, and build a working sample application using Foundry Local’s SDK and REST API. Perfect for developers seeking privacy-focused, hybrid AI solutions with enterprise scalability.
Azure AI Search Setup – Getting Started
Kickstart your Azure AI Search setup with this beginner-friendly guide. Learn how to create a Search service, build Blob Storage, upload documents, set up a data source, run an indexer, and query your first search results—all in just five steps.
Azure AI Search – Introduction
Discover how Azure AI Search revolutionizes information discovery with AI-powered indexing, semantic search, and integration with Azure Cognitive Services. From e-commerce optimization to enterprise knowledge management, this guide explores features, benefits, use cases, and setup steps—perfect for businesses looking to harness the future of intelligent search.
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