Tokenization refers to the process of converting a sequence of text into individual pieces, known as token. These tokens can represent words, characters, or subwords, and serve as the basic units for understanding and processing text in Natural Language Processing (NLP) tasks. Tokenization helps AI models to better understand, analyze, and generate human language by breaking down complex sentences into simpler, manageable components.
The LLM Knowledge Base is a collection of bite-sized explanations for commonly used terms and abbreviations related to Large Language Models and Generative AI.
It's an educational resource that helps you stay up-to-date with the latest developments in AI research and its applications.