April 2026
Intermediate
395 pages
13h 22m
English
Content preview from Generative AI with Python
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2.5 Coding: Fill-Mask
A fill-mask task is a type of masked language modeling in NLP, where a model predicts a missing word or token in a given sentence. This task is often used to understand context and word relationships by filling in a blank (or “mask”) in a sentence.
For instance, in the sentence “AI is transforming the [MASK] industry,” a fill-mask model might predict words like “technology,” “healthcare,” or “finance,” based on the context.
BERT (bidirectional encoder representations from transformers) and similar models are commonly used for this task, as they are pretrained on masked language modeling objectives, allowing them to predict missing words with a deep understanding of sentence structure and context.
The implementation is ...
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