bert2bert: Towards reusable pretrained language models
In recent years, researchers tend to pre-train ever-larger language models to explore the
upper limit of deep models. However, large language model pre-training costs intensive …
upper limit of deep models. However, large language model pre-training costs intensive …
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Neural growth is the process of growing a small neural network to a large network and has
been utilized to accelerate the training of deep neural networks. One crucial aspect of neural …
been utilized to accelerate the training of deep neural networks. One crucial aspect of neural …
[HTML][HTML] Leveraging Neighbor Attention Initialization (NAI) for Efficient Training of Pretrained LLMs
Q Tan, J Zhang - Electronics, 2024 - mdpi.com
In the realm of pretrained language models (PLMs), the exponential increase in
computational resources and time required for training as model sizes expand presents a …
computational resources and time required for training as model sizes expand presents a …