Applying Conditional Probability Notation in Text Summarization
Based on the general notation for conditional probability in sequence generation, write the precise mathematical expression for the probability that the model's next generated word is 'planet', given the full input text and the summary generated so far.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.2 Generative Models - Foundations of Large Language Models
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
A language model is generating text and has so far produced the sequence 'The sky is'. The model now needs to calculate the likelihood of the next word being 'blue'. Which of the following mathematical expressions correctly represents the probability of the next word being 'blue', given the preceding words?
Conditional Probability in Sequence-to-Sequence Generation
Notation for Machine Translation Probability
Formula for Re-weighting a Probability Distribution with a Reward Function
Applying Conditional Probability Notation in Text Summarization