Token transparency
Breaking down AI outputs to explain token-level contributions.
What
This pattern reveals the tokens AI used to generate responses, offering insight into the AI's decision-making process.
How
Display tokens explicitly or in metadata, helping users understand what influences the AI’s output.
When
Useful when users need to reverse-engineer responses or adjust their input to improve results.
Practical Tips
Focus on Key Tokens
Highlight impactful tokens to avoid overwhelming users with excessive detail.
Show Variations
Provide multiple interpretations or token combinations when relevant.
Ensure Ethical Transparency
Be cautious about unintentional references to copyrighted or biased material.
ChatGPT
ChatGPT's "Token Transparency" pattern lists key tokens like "financial goals" and "risk tolerance," clarifying how inputs inform outputs to enhance trust and understanding.
Udio
Udio's "Token Transparency" pattern displays tags like "female vocalist" and "atmospheric," clarifying how content is categorized or generated for user understanding.
