GPT "Deep Think"

Given a dataset containing multimodal inputs (text, image, audio), how would you design a model architecture to effectively process and fuse these inputs for a unified understanding?

Describe a step-by-step process of how you would debug and improve 

How do you implement reinforcement learning from 

Explain the methods you use to detect and mitigate potential hallucinations in your responses, especially when dealing with incomplete or ambiguous data. How do you ensure the reliability and accuracy of the information provided?