Let AI Tune Your Voice Assistant
SMRTR summary
A new automated prompt engineering system optimizes voice AI assistants by generating diverse audio test cases and iteratively refining system prompts. It creates semantic variations of user queries, converts them to audio with different voices, evaluates performance against expected outcomes, and uses an AI optimizer to improve prompts based on results. This approach aims to enhance function-calling accuracy and natural language understanding for voice assistants.
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