5 posts about local inference by 5 contributors.
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Learn how to run a GGUF language model locally on Windows with llama.cpp and call its OpenAI-style HTTP API from a C# application.
Learn how Microsoft Foundry Model Router selects cost-effective AI models, how structured outputs enforce JSON schemas, and how Foundry Local runs models offline.
Learn how Windows hybrid AI combines local models and cloud inference through intelligent routing, with practical considerations for Windows ML, NPUs, and .NET applications.
Learn how GitHub Copilot CLI can discover local AI models and what local inference means for coding-agent privacy, hardware, latency, capability, and operational control.
Benchmark local speech-to-text with Microsoft Foundry Local and C#, comparing transcription latency, CPU usage, memory consumption, accuracy, and offline performance.
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