 experts.

The mechanics of the study involve:

1. The authors use a range of MoE models, including FLAN-MOE, which is built on the Flan mixture and combines the strengths of both instruction-tuning and the sparse MoE technique.

2. They conduct empirical studies across three experimental setups: direct fine-tuning on individual downstream tasks without instruction tuning; instruction tuning followed by in-context few-shot or zero-shot generalization on downstream tasks; and instruction tuning supplemented 