Diana discusses the impressive advancements in neural architecture search, highlighting a reduction in search time from days to hours. The combination of specific building blocks and parameter sharing has led to significant efficiency gains, particularly in training and inference. Additionally, quantization offers substantial improvements in performance, suggesting a promising future for custom hardware applications.
