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A text generation model needs to create a candidate pool of tokens for its next selection based on a cumulative probability threshold. Arrange the following actions in the correct chronological order to accurately construct this pool.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Comprehension in Revised Bloom's Taxonomy
Cognitive Psychology
Psychology
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Empirical Science
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A language model is generating the next word and has calculated the following probabilities for the most likely tokens:
{'the': 0.40, 'a': 0.25, 'one': 0.15, 'it': 0.10, 'is': 0.05}. If the model uses a probability threshold ofp = 0.70to create a candidate pool for sampling, which set of tokens will be included in that pool?A text generation model needs to create a candidate pool of tokens for its next selection based on a cumulative probability threshold. Arrange the following actions in the correct chronological order to accurately construct this pool.
Determining the Probability Threshold