Tokenization

Tokenization, in the context of large language models (LLMs), is the process of converting input text into smaller units, or "tokens," which can then be processed by the model. This process is a critical preprocessing step before feeding data to a large language model (LLM), as it ensures the text is in a format the model can understand and process.