When consolidating multiple domain-specific AI experts, choose Merge for cost efficiency, Mix RL for unified model training with adjustable domain balance, or MOPD when preserving specialized capabilities matters most.
This paper compares three methods for combining multiple AI experts trained on different tasks: Merge (combining their learned updates), Mix RL (pooling their training data), and MOPD (using both).