Analysis
This development marks a significant advancement in making AI assistants feel truly responsive. By cleverly staging responses across different LLMs based on complexity, the system delivers incredibly fast turnarounds, creating a smoother and more natural conversational experience. The innovative approach highlights a new path toward seamless real-time interaction with Generative AI.
Key Takeaways
- •The system utilizes a three-stage response system: a quick 'greeting' LLM, a 'quick response' LLM for simpler requests, and a 'main response' LLM for complex queries.
- •This architecture prioritizes speed, with the goal of keeping response times under one second from the end of the user's speech.
- •Different LLMs are used at each stage, along with context window and system prompt adjustments to optimize speed and quality.
Reference / Citation
View Original"In this demo, the time from VAD detection (how many seconds of silence determine the user's utterance is finished) to the first utterance from the assistant is 0.87 seconds for the first turn and 1.64 seconds for the second turn."