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In a masked modeling approach, an input sequence x is transformed into a modified sequence x̄ by replacing tokens at a randomly selected set of positions A(x) with a special [MASK] symbol. Given an input sequence x = (T1, T2, T3, T4, T5, T6) and a set of selected positions A(x) = {2, 5} (using 0-based indexing), what is the resulting modified sequence x̄?
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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
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
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Example of Masked Language Modeling with Single and Multiple Masks
In a masked modeling approach, an input sequence
xis transformed into a modified sequencex̄by replacing tokens at a randomly selected set of positionsA(x)with a special[MASK]symbol. Given an input sequencex = (T1, T2, T3, T4, T5, T6)and a set of selected positionsA(x) = {2, 5}(using 0-based indexing), what is the resulting modified sequencex̄?Critique of a Masking Implementation
In the formal definition of the masking process used in language models, several components are used to describe the transformation of an input sequence. Match each symbolic component with its correct description.