Model Tokenizer

Definitions

1. The tokenizer associated with a model that converts raw input into tokens and often converts generated tokens back into text. The tokenizer affects context limits, costs, and how efficiently different languages or formats are represented.

   In plain English: The component that splits text into tokens for a model.

   Example: "They checked the model tokenizer before rollout because code snippets and multilingual text were tokenizing much more densely than expected."

Related Terms

• AI Language
• AI Parameter
• Classifier
• Image Tokenizer
• Model Benchmark
• Model Config
• Model Context
• Model Deployment
• Model Editor
• Sub-Word
• Vocabulary Size
• Word Piece