Analysis
This article presents a fascinating approach to integrating Large Language Models (LLMs) into voice AI systems. It highlights a Finite State Machine (FSM) control structure that ensures safe and reliable operation, preventing common pitfalls and maximizing the LLM's potential. The focus on a 'Thinking' state for the LLM is a smart strategy to avoid issues like latency and uncontrolled behavior.
Key Takeaways
- •The core principle is to keep the LLM within the 'Thinking' state, preventing direct control over the voice output.
- •A Finite State Machine (FSM) manages the overall flow, ensuring safety and preventing issues like infinite loops.
- •This architecture separates responsibilities, making the system more robust and easier to debug.
Reference / Citation
View Original"The LLM should only be placed in the Thinking state."