Chapter 07.01: GPT-1 (2018)
GPT-1 [1] introduces a novel approach to natural language processing by employing a generative transformer architecture pre-trained on a vast corpus of text data, where task-specific input transformations are performed to adapt the model to different tasks. By fine-tuning the model on task-specific data with minimal changes to the architecture, GPT-1 demonstrates the effectiveness of transfer learning and showcases the potential of generative transformers in a wide range of natural language understanding and generation tasks.