A data scientist is using a large language model to determine the conditional log-probability of a specific completion y following a given prompt x. Their process involves concatenating the two sequences into [x, y] and then performing a single forward pass to compute the log-probability of this combined sequence, which they take as their final result. Which statement best analyzes the flaw in this methodology?
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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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Initial Representation for Concatenated [x, y] Sequences
A data scientist is using a large language model to determine the conditional log-probability of a specific completion
yfollowing a given promptx. Their process involves concatenating the two sequences into[x, y]and then performing a single forward pass to compute the log-probability of this combined sequence, which they take as their final result. Which statement best analyzes the flaw in this methodology?You are tasked with using a large language model to compute the conditional log-probability of an output sequence
ygiven an input sequencex. Arrange the following computational steps into the correct chronological order.Calculating Conditional Log-Probability from Model Outputs