Explaining Model Output Variability
Based on the formal expression for token selection, , explain why generating different outputs from the same initial text is the expected behavior for this type of model.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
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Sequence Extension with a Sampled Token
An autoregressive language model has generated the sequence of tokens: 'The quick brown fox'. It is now about to generate the next token. Which expression accurately describes how the model will select this next token?
An autoregressive model selects the next token by sampling from a conditional probability distribution, represented by the formula: Match each component of this formula to its correct description.
Explaining Model Output Variability