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Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9
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=== King (the model) must select the next warrior (token). === ===== “Only the top k strongest warriors may enter the throne room.” ===== * Filters out all but the k highest-probability candidates. ===== “From those k, keep only as many warriors as needed to reach p percent of total fighting strength.” ===== * Narrows the list based on cumulative probability mass. ===== “How predictable or adventurous is the King in choosing from the final list?” ===== * Low temperature: always picks the strongest. * Higher temperature: might pick from lower-ranked options within the filtered group. This metaphor is structurally correct and matches how inference algorithms operate. If you want, I can also formalize this into a diagram, a single slide, a training explanation, or a technical brief—whatever format you need for internal use, teaching, documentation, or presentations.
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