Caffe
AI Infrastructure
A data compression algorithm that iteratively merges the most frequent pairs of bytes or characters into single tokens.
Detailed Explanation
Byte-Pair Encoding (BPE) is a data compression technique that reduces data size by iteratively identifying and merging the most frequent adjacent byte or character pairs into single tokens. Commonly used in natural language processing, BPE helps create efficient subword units for tokenization, improving model vocabulary management and handling out-of-vocabulary words while maintaining computational efficiency.
Use Cases
- •Using BPE for tokenizing text datasets to enhance vocabulary efficiency in NLP model training.
Related Terms
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