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1. wasm-orchestration-with-spin wasm-orchestration-with-spin Public

   Repository to demonstrate Wasm modules orchestration with containers in Kubernetes

   Shell 3 3

2. distributed-az-edge-framework distributed-az-edge-framework Public archive

   This accelerator is (being) developed to allow heavy edge solutions to run on K8s, in distributed and resilient manner.

   PowerShell 5 5

3. spinframework/spin-trigger-mqtt spinframework/spin-trigger-mqtt Public

   An MQTT trigger for Spin

   Rust 20 11

4. Edge to Fabric Eventhouse Medallion ... Edge to Fabric Eventhouse Medallion Pattern

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   # Mfg. Data Patterns

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   ## Medallion architecture in Eventhouse for Real-time Data from AIO

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   Medallion architecture is a design pattern used in data engineering to organize data into different layers or zones. This pattern ensures data quality, enhances data processing efficiency, and simplifies data management. The architecture typically consists of three layers; the subsequent section elaborates on the layers and other aspects of implementation in context of AIO and Microsoft Fabric.

5. rag-doc-data-search rag-doc-data-search Public

   A RAG solution to search documents and database with configurable models.

   C#

6. Tools Accuracy and LLMs Tools Accuracy and LLMs

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   # S/LLMs and Tools Accuracy

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   As AI agents gain access to more tools and capabilities, a critical challenge emerges: **the more tools an LLM can choose from, the less accurate it becomes at selecting the right one**. This inverse relationship between tool quantity and selection accuracy fundamentally limits how many capabilities we can expose to a single agent.

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   This guide examines proven strategies to overcome this limitation, drawing from publicly available research and real-world implementations from GitHub, Anthropic, and Cloudflare. We explore both techniques that help LLMs better understand available tools and approaches that strategically reduce the number of tools presented at any given time.