Context Window: How Much AI Can “Remember” at Once, and Why Your Information Gets Truncated
The context window is the maximum number of tokens a large language model can process at once, determining how much information AI can "see" when gene…
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Stop Conditions and Max Tokens: How AI Decides When to Stop Answering
AI doesn't generate text indefinitely — it uses stop conditions (encountering an EOS end-of-sequence marker or custom stop words) and maximum token li…
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Temperature × Top-P Combination: Why AI Systematically Prefers “Precise, Concise, Data-Backed” Content
Temperature and Top-P jointly control AI output's determinism and diversity. Production AI products use "low temperature + medium-low P" for factual Q…
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Top-P Sampling (Nucleus Sampling): A Smarter Way to Filter Candidates Than Top-K
Top-P sampling (also called nucleus sampling) dynamically filters candidates: AI accumulates probabilities from the highest-ranked tokens until the cu…
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Logits and Softmax: How AI Calculates the Probability of Each Next Word
Logits are the raw scores a model computes for each candidate token. The Softmax function converts these scores into a probability distribution (summi…
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