In the context of Large Language Models (LLMs), output tokens are simply the individual units of text that the model generates as its response.

Think of them like building blocks of text. Each token is a single unit of text, such as:

• A word (e.g., "hello")
• A character (e.g., "a")
• A punctuation mark (e.g., ".")
• A space (e.g., " ")

When an LLM generates text, it predicts one token at a time. The model outputs a sequence of these tokens to form a complete response, such as a sentence or paragraph.

For example, if an LLM is asked to generate a response to the prompt "What is your name?", the output tokens might be:

• "My"
• "name"
• "is"
• "LLaMA"

The model has generated a sequence of 4 output tokens to form the complete response "My name is LLaMA".