# LLMs, ChatGPT, .Net courses, tutorials and resources
- [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
- [Azure Open AI demos - Github](https://github.com/retkowsky/Azure-OpenAI-demos)
- [Generative AI for Beginners - A Course - MS Github](https://github.com/microsoft/generative-ai-for-beginners)
- [Prompt Engineering Guide - learnprompting.org](https://learnprompting.org/docs/intro)
- [The Art and Science of Working with AI - MS Worklab](https://www.microsoft.com/en-us/worklab/the-art-and-science-of-working-with-ai)
- [Mastering Prompts: How to Effectively Communicate with AI Language Models - Louis Bouchard](https://www.louisbouchard.ai/prompting-llms/)
- [Demystifying Retrieval Augmented Generation with .NET - Semantic Kernel - Stephen Toub MS](https://devblogs.microsoft.com/dotnet/demystifying-retrieval-augmented-generation-with-dotnet/)
- [Efficient Data Formats for GPT](https://nikas.praninskas.com/ai/2023/04/05/efficient-gpt-data-formats/)
- [MS Learn - Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/overview/)
- [Tutorial: ChatGPT + Enterprise data with Semantic Kernel, OpenAI and Azure Cognitive Search - MS Github](https://github.com/Azure-Samples/semantic-kernel-rag-chat)
- [Retrieval augmented generation: Keeping LLMs relevant and current - StackOverflow](https://stackoverflow.blog/2023/10/18/retrieval-augmented-generation-keeping-llms-relevant-and-current/)
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