Improving Language Understanding by Generative Pre-Training

Improving Language Understanding by Generative Pre-Training (often associated with the original GPT model) is a research advance in natural language processing that uses generative pre-training and unsupervised learning to create language models capable of understanding and generating human-like text. This foundational work is targeted at researchers, developers, and AI practitioners aiming to build or leverage state-of-the-art language models for diverse NLP applications including text generation, summarization, and question answering.