The high computational and memory requirements of large language model (...
Text-to-image generation models represent the next step of evolution in ...
Many deep learning applications benefit from using large models with bil...
Linguistic acceptability (LA) attracts the attention of the research
com...
Many NLP tasks benefit from using large language models (LLMs) that ofte...
Many recent breakthroughs in deep learning were achieved by training inc...
The infrastructure necessary for training state-of-the-art models is bec...
Commonsense reasoning is one of the key problems in natural language
pro...
Some of the hardest problems in deep learning can be solved with the com...
Modern deep learning applications require increasingly more compute to t...
Ensembles of machine learning models yield improved system performance a...
Training deep neural networks on large datasets can often be accelerated...
It has become a de-facto standard to represent words as elements of a ve...