TACIT-Switch: Cost-Aware Model Escalation for LLM Agents from Censored Supervision
The episode discusses the 'TACIT-Switch' paper, detailing how LLM agents manage transitions between model levels based on accumulated risk. By comparing calculated confidence against a threshold, the system decides when to escalate its capability. This approach enables adaptive, cost-efficient, and robust AI suitable for real-world deployment.