Overview

Output tokens in the context of large language models (LLMs) represent the sequence of symbols or words generated by an AI model as a response to user input.

These tokens are selected from the model's vocabulary based on probability, aiming to produce coherent and contextually relevant text that fulfills the intended task.

Key aspects

In 2026, output token generation will be crucial for improving the quality and efficiency of AI-driven services such as chatbots and content creation tools.

Techniques like fine-tuning and prompt engineering will enhance how models manage their output tokens to better align with user expectations and ethical guidelines in AI applications.