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Insights, tutorials, and career tips from the engineering community
Learn what AI tokens are, how tokenization works, input vs output tokens, context windows, LLM token limits, API costs, and practical token optimization techniques.
Learn what Top-P Sampling is, how Nucleus Sampling works, token probability, Top-P vs Temperature, Top-K sampling, and practical LLM API examples for developers.
Learn what AI model temperature is, how it controls token sampling, low vs high temperature, Top-P comparison, practical examples, and how developers configure LLM APIs.
Semantic Kernel vs LangChain for .NET AI apps: we compared both on a fintech API doc assistant and LMS Q&A bot—DI integration, plugins, observability, and which framework fits production C# teams.
Build RAG applications with ASP.NET Core and Azure OpenAI: ingest LMS course docs, embed with Azure AI Search, and serve grounded answers via minimal APIs—step-by-step with production pitfalls.
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