Prompting & Interaction
Top-K
A setting that restricts the AI to choosing from only the K most likely next tokens.
Definition
Top-K sampling limits the model's next-token choices to the K tokens with the highest predicted probability. If K = 50, the model can only choose from the 50 most likely options at each step. This prevents extremely unlikely tokens from appearing while preserving some variety. Top-K is often combined with Top-P and temperature for finer control over output characteristics.
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026