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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.
A decision framework for fifty Toolliyo paths: match background, job market, and timeline to .NET, React, Azure, MERN, or full-stack .NET plus React in 2025.
MongoDB, Express, React, and Node.js end to end: what to learn in order, starter projects that teach real skills, and mistakes to avoid when you deploy.
From BSON basics to production MERN stacks: schema design, indexing, aggregation, transactions, Atlas, and mistakes Node developers make when escaping SQL habits.
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