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Large Language Models, passkey authentication, Flowise, Semantic Kernel, Aspire framework, performance.
Three articles in this issue of CODE discuss Large Language Models. Philipp Bauer discusses open-source LLMs and how a company might choose one to run internally to address issues of safety of customer data, compliance and intellectual property. Wei-Meng writes about Flowise, a low-code/no code drag-and-drop tool used to visually prototype and build LLM apps without writing code. Mike continues his tutorial from the last issue of CODE to demonstrate using Semantic Kernal. Other great articles in this issue cover passkey authentication, the Aspire framework, distributed caching and how to use C# for building high-performance systems.

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