This review provides a detailed overview of the Generative Pre-trained Transformer, including its architecture, working process, training procedures, enabling technologies, and its impact on various …

We demonstrate that large gains on these tasks can be realized by generative pre-training of a language model on a diverse corpus of unlabeled text, followed by discriminative fine-tuning on each specific …

Transformer Model Vaswani et. al. 2017. Attention is All you Need. First transduction model relying entirely on self-attention to compute representations of its input and output Backbone of the modern …

Generative Pre-trained Transformer (GPT) technology is increasingly becoming a part of the insurtech dialogues, where GPT models have the potential to significantly enhance the efficiency and accuracy …

In Sample Efficient Text Summarization Using a Single Pre-Trained Transformer, a decoder-only transformer is first pre-trained on language modeling, then finetuned to do summarization.

Take a ConvNet pretrained on ImageNet, remove the last fully-connected layer (this layer’s outputs are the 1000 class scores for a different task like ImageNet), then treat the rest of the ConvNet as a fixed …

Abstract—The Generative Pre-trained Transformer (GPT) rep-resent a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines …