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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.
SOLID is not academic vocabulary—see each principle applied to C# code you might write this week, with before-and-after refactors you can use in reviews.
Move from layered confusion to testable .NET solutions: domain at the center, application use cases, infrastructure at the edge, and migration steps that do not freeze your team for a quarter.
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