Deep learning—including the cutting-edge transformer architecture behind DALL-E and GPT-3—does have serious limitations as a conceptual model of intelligence. Yet in a sense, this debate ...

But the more interesting question is not whether size matters to the performance of language models, but why. Fortunately, Eisape and colleagues addressed this question as well. They tested which ...

He explains the 3 significant benefits of GPU architecture over CPUs, but doesn’t explain why the problems associated with deep learning are better solved by having those 3 benefits.

In recent years, the transformer model has become one of the main highlights of advances in deep learning and deep neural networks. It is mainly used for advanced applications in natural language ...

To allow researchers to use the deep learning model in their own studies, ... (2019, March 25). New computational tool harnesses big data, deep learning to reveal dark matter of the transcriptome.