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A language model uses a multi-step probabilistic method to select the next word in a sequence. The descriptions below represent four distinct steps in this process. Arrange them in the correct chronological order.
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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 is processing the input 'The dog is very'. The very first step in a common probabilistic text generation method is to produce a set of all potential next words from its entire vocabulary, each with an associated likelihood score. Which of the following options best illustrates the direct result of this initial expansion step?
A language model is given the input 'The weather is' and begins a probabilistic text generation process. The very first step is to generate a list of potential next words from its vocabulary, each with a calculated probability. Which option below accurately characterizes the direct output of this initial generation step, before any sorting or filtering occurs?