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Predicting the Next Word
Based on the process described in the case study below, identify which word the language model will select as its final output and explain why.
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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
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Example of 1-Best Selection
Ranking Stage in 1-Best Selection
Expansion Stage in 1-Best Selection
Output Stage in 1-Best Selection
Predicting the Next Word
A language model is determining the next word in a sequence. It follows a process where it first creates a list of possible words, then organizes them by likelihood, and finally chooses the most probable one. Arrange the formal stages of this process in the correct chronological order.
A language model is using a three-stage process (Expansion, Ranking, Output) to select the next word for the phrase 'The cat is...'. The model first expands the possibilities to a set of candidates with their probabilities: 'sleeping' (0.5), 'cute' (0.3), 'on' (0.15), and 'blue' (0.05). However, the model's final output is the word 'on'. Which stage of the process is the most direct point of failure?