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Analyzing Text Generation Outputs
Analyze the two text generation system outputs described in the case study. Identify which system likely uses a fixed-size candidate pool for token selection and which uses a dynamically-sized pool based on cumulative probability. Justify your reasoning.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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Analysis in Bloom's Taxonomy
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A language model has predicted the following probabilities for the next potential token: 'the' (0.20), 'a' (0.18), 'it' (0.15), 'he' (0.12), 'she' (0.10), and 'that' (0.08). Consider two different sampling configurations: one using a fixed candidate pool of size
k=3, and another using a dynamic candidate pool where the cumulative probability of selected tokens must exceedp=0.6. Which statement accurately compares the resulting candidate pools for these two configurations?Analyzing Text Generation Outputs
Comparative Analysis of Sampling Methods Under Varied Probability Distributions