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docs/ai/ai.md

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- [UKPLab/sentence-transformers](https://github.com/UKPLab/sentence-transformers) - State-of-the-Art Text Embeddings
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- [SciSharp/TensorFlow.NET](https://github.com/SciSharp/TensorFlow.NET) - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
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- [dotnet/smartcomponents](https://github.com/dotnet/smartcomponents) - Sample intelligent app features provided as reusable .NET components
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- [yamadashy/repopack](https://github.com/yamadashy/repopack) - Repopack is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.
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- [BerriAI/litellm](https://github.com/BerriAI/litellm) - Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
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- [microsoft/BitNet](https://github.com/microsoft/BitNet) - Official inference framework for 1-bit LLMs
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## Tools
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- [zed-industries/zed](https://github.com/zed-industries/zed) - Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
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- [Doriandarko/claude-engineer](https://github.com/Doriandarko/claude-engineer) - Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.
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- [Doriandarko/RepoToTextForLLMs](https://github.com/Doriandarko/RepoToTextForLLMs) - Automate the analysis of GitHub repositories for LLMs with RepoToTextForLLMs.
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- [carlrobertoh/CodeGPT](https://github.com/carlrobertoh/CodeGPT) - The leading open-source AI copilot for JetBrains. Connect to any model in any environment, and customize your coding experience in any way you like.
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- [plandex-ai/plandex](https://github.com/plandex-ai/plandex) - AI driven development in your terminal. Designed for large, real-world tasks.
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- [sourcegraph/cody](https://github.com/sourcegraph/cody) - Type less, code more: Cody is an AI code assistant that uses advanced search and codebase context to help you write and fix code.
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## Samples
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- [Azure-Samples/openai-dotnet-samples](https://github.com/Azure-Samples/openai-dotnet-samples)
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- [Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG](https://www.amazon.com/Building-LLMs-Production-Reliability-Fine-Tuning/dp/B0D4FFPFW8)
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- [Super Study Guide: Transformers & Large Language Models](https://www.amazon.com/dp/B0DC4NYLTN/)
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- [Hands-On Large Language Models](https://www.oreilly.com/library/view/hands-on-large-language/9781098150952/)
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- [LLM Engineer's Handbook: Master the art of engineering large language models from concept to production](https://www.amazon.com/LLM-Engineers-Handbook-engineering-production/dp/1836200072/)

docs/ai/models/hugging-face.md

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- [What is Hugging Face - Crash Course (No Coding) | ML Products for Beginners](https://www.youtube.com/watch?v=x8gdOPO35HA)
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## Libraries
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- [huggingface/transformers](https://github.com/huggingface/transformers) - Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- [huggingface/transformers](https://github.com/huggingface/transformers) - Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- [huggingface/transformers.js](https://github.com/huggingface/transformers.js) - State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

docs/ai/models/models.md

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# Models
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## Libraries
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- [deepseek-ai/DeepSeek-Coder-V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2) - DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
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- [deepseek-ai/DeepSeek-V2](https://github.com/deepseek-ai/DeepSeek-V2) - DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
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- [QwenLM/Qwen2.5-Coder](https://github.com/QwenLM/Qwen2.5-Coder) - Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
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- [QwenLM/Qwen2.5](https://github.com/QwenLM/Qwen2.5) - Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

docs/ai/models/phi.md

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## Articles
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- [Run Phi-3 SLM on your machine with C# Semantic Kernel and Ollama](https://laurentkempe.com/2024/05/01/run-phi-3-slm-on-your-machine-with-csharp-semantic-kernel-and-ollama/)
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- [Using Phi-3 & C# with ONNX for text and vision samples](https://devblogs.microsoft.com/dotnet/using-phi3-csharp-with-onnx-for-text-and-vision-samples-md/)
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- [Introducing Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning](https://techcommunity.microsoft.com/blog/aiplatformblog/introducing-phi-4-microsoft%E2%80%99s-newest-small-language-model-specializing-in-comple/4357090)
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## Books
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- [microsoft/Phi-3CookBook](https://github.com/microsoft/Phi-3CookBook) - This is a Phi-3 book for getting started with Phi-3.

docs/ai/semantic-kernel.md

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- [What is Semantic Kernel?](https://learn.microsoft.com/en-us/semantic-kernel/overview/)
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- [Getting started with Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide?pivots=programming-language-csharp)
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- [Introducing new Ollama Connector for Local Models](https://devblogs.microsoft.com/semantic-kernel/introducing-new-ollama-connector-for-local-models/)
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- [Introducing new Ollama Connector for Local Models](https://devblogs.microsoft.com/semantic-kernel/introducing-new-ollama-connector-for-local-models/)
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- [Using Semantic Kernel with Dependency Injection](https://devblogs.microsoft.com/semantic-kernel/using-semantic-kernel-with-dependency-injection/)
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- [Observability in Semantic Kernel](https://devblogs.microsoft.com/semantic-kernel/observability-in-semantic-kernel/)
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## Libraries
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- [microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) - Integrate cutting-edge LLM technology quickly and easily into your apps
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## Samples
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- [microsoft/semantic-kernel/dotnet/samples](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/samples)
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- [Azure-Samples/eShopOnAzure](https://github.com/Azure-Samples/eShopOnAzure)
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- [dotnet/eShop](https://github.com/dotnet/eShop)
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# Architecture Decision Record (ADR)
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# Resources
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- [joelparkerhenderson/architecture-decision-record](https://github.com/joelparkerhenderson/architecture-decision-record) - Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
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## Articles
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- [Architecture Decision Records](https://endjin.com/blog/2023/07/architecture-decision-records)
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# C4
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## Resources
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- [C4Model.com](https://c4model.com)

docs/azure/messaging/azure-event-hub.md

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## Articles
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- [Introducing Local Emulator for Azure Event Hubs](https://techcommunity.microsoft.com/t5/messaging-on-azure-blog/introducing-local-emulator-for-azure-event-hubs/ba-p/4146454)
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- [Overview of the Azure Event Hubs emulator](https://learn.microsoft.com/en-us/azure/event-hubs/overview-emulator)
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## Libraries
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- [Azure/azure-event-hubs-emulator-installer](https://github.com/Azure/azure-event-hubs-emulator-installer) - This repository acts as a central hub for handling issues, collecting feedback, and facilitating discussions related to the Azure Event Hubs emulator.
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## 🚀 Samples
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- [jeffhollan/container-apps-dotnet-eventing](https://github.com/jeffhollan/container-apps-dotnet-eventing)

docs/azure/messaging/azure-service-bus.md

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- [Advanced Message Queueing Protocol (AMQP) 1.0 support in Service Bus](https://learn.microsoft.com/en-us/azure/service-bus-messaging/service-bus-amqp-overview)
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- [How to bridge RabbitMQ with Service Bus](https://dev.to/azure/how-to-bridge-rabbitmq-with-azure-service-bus-98l)
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- [How to use AMQP 1.0 with the Service Bus .NET API](https://github.com/toddkitta/azure-content/blob/master/articles/service-bus/service-bus-dotnet-advanced-message-queuing.md)
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- [Overview of the Azure Service Bus emulator](https://learn.microsoft.com/en-us/azure/service-bus-messaging/overview-emulator)
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- [Asynchronous messaging with Azure Service Bus](https://www.youtube.com/watch?v=aJn5CDhWvJQ)
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- [AZURE SERVICE BUS QUEUE - Getting Started | Azure Series](https://www.youtube.com/watch?v=sjgG3Q2GbeA)
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- [AZURE SERVICE BUS TOPICS & SUBSCRIPTIONS- Getting Started | Azure Series](https://www.youtube.com/watch?v=YFKrguSrOAM)
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## Libraries
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- [Azure/azure-service-bus-emulator-installer](https://github.com/Azure/azure-service-bus-emulator-installer) - This repository acts as a central hub for handling issues, collecting feedback, and facilitating discussions related to the Azure Service Bus Emulator.
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## 🚀 Samples
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- [Azure/azure-sdk-for-net/tree/main/sdk/servicebus/Azure.Messaging.ServiceBus/samples](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/servicebus/Azure.Messaging.ServiceBus/samples)
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- [Azure/azure-service-bus](https://github.com/Azure/azure-service-bus/tree/master/samples)

docs/caching.md

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- [Redis as a Database](https://medium.com/wix-engineering/redis-as-a-database-f9df579b09c0)
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- [MongoDB vs. Redis: Which Database Should You Use?](https://www.integrate.io/blog/mongodb-vs-redis/)
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- [MongoDB vs. Redis Comparison](https://www.mongodb.com/compare/mongodb-vs-redis)
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- [Redis Anti-Patterns Every Developer Should Avoid](https://redis.io/learn/howtos/antipatterns)
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## 📺 Videos
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- [Real-Time Delivery Architecture at Twitter](https://www.infoq.com/presentations/Real-Time-Delivery-Twitter/)

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