The Growing Size Problem in Deep Learning

The article likely discusses the escalating computational and resource demands associated with increasingly large deep learning models. This critique focuses on the potential limitations and challenges arising from these size-related issues.

• •Large model sizes require significant computational resources (GPUs, TPUs).
• •Training and deploying large models can be extremely expensive.
• •The environmental impact of training these large models is a growing concern.