Example Concept: To enhance fallback response accuracy, implement a strategy that includes monitoring user queries that trigger fallbacks, updating training data to cover these gaps, and designing fallback responses that guide users back to the main conversation flow. Additionally, consider using a confidence threshold to determine when to trigger a fallback, ensuring it only activates when the bot is genuinely uncertain.