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Analyzing Unexpected Model Behavior
A developer is testing a language model on a sentiment analysis task. The model correctly identifies 'This movie was fantastic!' as having positive sentiment. However, when given the input 'This movie was fantabulous!', the model returns a neutral or slightly negative sentiment, despite 'fantabulous' being a strongly positive word. Based on the fundamental way models process text, what is the most likely reason for this error?
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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A language model needs to process the sentence: 'Unforeseen challenges can't be ignored.' The model breaks the sentence into a sequence of fundamental units for processing. Which of the following sequences best demonstrates the principle that these units are often different from simple, space-separated words?
Analyzing Unexpected Model Behavior
Explaining the Distinction Between Words and Tokens