Decoding AI: Understanding Text Tokenization for LLMs

This article provides a fantastic introduction to how AI, particularly in the realm of Natural Language Processing (NLP), handles text. It expertly explains the critical process of tokenization, which is the foundational step for any AI model to understand and process human language efficiently. The exploration of different tokenization methods is especially valuable.

• •Tokenization is the process of breaking down text into smaller units (tokens) for AI processing.
• •Different tokenization methods exist, including word-based, character-based, and subword tokenization.
• •Tokenization improves computational efficiency, handles unknown words, and manages vocabulary size in AI models.