one of the Codia AI technologies: In-Depth Analysis of LLM

1. Core Concepts of Language Models Explained

1.1. The Details of Tokenization

Tokenization is a key preprocessing step in natural language processing (NLP), involving the breaking down of text into smaller units, which can be words, subword units, or characters. The process of tokenization is crucial for handling issues such as out-of-vocabulary words (i.e., words not recorded in the dictionary), spelling mistakes, etc. For example, "don't" can be tokenized into "do" and "n't". The methods and tools for tokenization vary …

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