World Models
AI Infrastructure
A subword tokenization algorithm that builds a vocabulary by iteratively adding the most likely sequences of characters. It uses a likelihood-based approach to determine optimal subword units.
Detailed Explanation
WordPiece is a subword tokenization algorithm used in AI models like BERT. It constructs a vocabulary by iteratively merging the most probable character sequences, balancing vocabulary size and linguistic granularity. This method improves handling of rare and unseen words, enabling more efficient and accurate language understanding by breaking down text into meaningful subword units based on likelihood.
Use Cases
- •Tokenize rare words for improved model handling and accuracy in language understanding tasks.
Related Terms
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