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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.
Senior interview answers that sound like experience, not flashcards: closures, event loop, prototypes, async pitfalls, and how to say "I do not know" without torpedoing the loop.
A practical roadmap for .NET interviews in 2025: C# fundamentals, ASP.NET Core, SQL, system design basics, and how to answer behavioral questions without sounding rehearsed.
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