Tokenization and Byte Pair Encoding Explained

This article from Lex Clips likely explains the concepts of tokenization and Byte Pair Encoding (BPE), which are fundamental techniques in Natural Language Processing (NLP) and particularly relevant to Large Language Models (LLMs). Tokenization is the process of breaking down text into smaller units (tokens), while BPE is a data compression algorithm used to create a vocabulary of subword units. Understanding these concepts is crucial for anyone working with or studying LLMs, as they directly impact model performance, vocabulary size, and the ability to handle rare or unseen words. The article probably details how BPE helps to mitigate the out-of-vocabulary (OOV) problem and improve the efficiency of language models.

• •Tokenization is a core NLP task.
• •Byte Pair Encoding helps handle unknown words.
• •Understanding these concepts is crucial for LLM work.