[jackchina]

To ensure the AI doesn't hallucinate bad responses, focus on the following steps:

Quality Training Data: Train the model on high-quality, up-to-date company documents, ensuring it reflects accurate information.

Fine-tuning: Regularly fine-tune the model on specific support use cases and real customer interactions.

Feedback Loops: Implement a system for human oversight where support agents can review and correct the AI's responses.

Context Awareness: Design the system to ask clarifying questions if uncertain, avoiding direct false information.

Monitoring: Continuously monitor and evaluate the AI’s performance to catch and address any issues promptly.