Current state-of-the-art approaches have explored various strategies to narrow this gap.

In contrast to the standard sparse MoE for each entire feed-forward network, BTT -MoE learns an MoE in every single linear layer of the model, including the projection matrices in the attention blocks.

Automatic Differentiation (AD) algorithms using Deep RL that can be used in JAX.

However, the cloud induced-variability of solar radiation reaching the earth's surface presents a challenge for integrating solar power into the grid (e.g., storage and backup management).