- having a log of the most prominent J-space tokens during your customer support chatbot's interactions with a user, so you can have more introspection into why a particular outcome happened
- being able to detect certain thoughts associated with undesirable behavior (hallucinations, overstepping authority, lying, etc.) and trigger some sort of remediation (e.g. upgrading to a better model, redirecting to a human, forcing tool calls) Prediction Stats:
Stop Reason: eosFound
Tokens/Second: 21.10
Time to First Token: 1.827s
Prompt Tokens: 42
Predicted Tokens: 187
Total Tokens: 229