Could you explain the concept of a 'mixture of experts'? Describe how this architecture combines multiple models or 'experts' to make predictions. Discuss the role of gating networks and expert networks within the mixture of experts framework. Additionally, provide insights into scenarios or domains where the mixture of experts approach excels in comparison to traditional models, and highlight any challenges or limitations that might arise when implementing such architectures in complex learning tasks.

The "mixture of experts" is a powerful architecture used in machine learning that combines multiple models or "experts" to make predictions. This architecture consists of two key components: gating networks and expert networks.

• Gating Networks: These networks...