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Multiple Choice
An autoregressive language model is generating text and needs to determine the next token. After processing the existing context (which is stored in its cache), the model's final layer outputs the following probabilities for a small subset of its vocabulary:
- P('mat' | cache) = 0.65
- P('floor' | cache) = 0.25
- P('sky' | cache) = 0.05
- P('the' | cache) = 0.05
According to the standard formula for selecting the single most likely next token, which token will be chosen?
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Updated 2025-09-26
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
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