Irwan explains the concept of mixture of experts, where multiple independently trained experts process inputs, allowing for a significant increase in parameters without the drawbacks of dense networks. He highlights the advantages of using shallow networks for each expert and discusses the balance between accuracy and latency in network architecture, suggesting an optimal placement of expert layers for improved performance.
