How Prompt Routing Can Improve AI Effectiveness
Directing questions to specialized AI prompts for better answers
I recently presented a lab at Auth0 by Okta’s Developer Day 2024.
In the lab, I mentioned that keeping prompts broad enough so it doesn’t over-index on specific examples while handling edge cases is challenging.
Putting all your instructions in one system prompt makes it hard to handle breadth and depth of instructions for your LLM.
Intent classification solves this problem by routing queries to the appropriate system prompt.
Example Weather Bot: Forecast vs. History
Single Prompt Approach:
One system prompt tries to cover all weather-related queries, potentially struggling with the breadth of information and handling edge cases.
Prompt Routing Approach:
Intent classifier determines if the query is about forecasts or historical data.
Routes to either a "Forecast Prompt" or a "Historical Data Prompt".
Next time you're struggling with edge cases, hallucinations, or complex instructions in AI prompts, consider using prompt routing.