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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.
ChatGPT and GitHub Copilot for .NET developers: production-tested prompts for ASP.NET Core APIs, EF Core queries, unit tests, and code review—plus honest limits when AI-generated C# ships to prod.
Prompt engineering for software engineers writing production code: structured templates, verification loops, and team patterns that survive code review—not hype for one-off ChatGPT demos.
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