GPT-1

Improving Language Understanding with Unsupervised Learning (GPT-1)

OpenAI published the GPT-1 paper in June 2018, demonstrating state-of-the-art results across diverse language tasks by combining transformer architectures with unsupervised pre-training followed by supervised fine-tuning. The approach is task-agnostic and scalable, showing that pre-training on large unlabeled text corpora and then fine-tuning on specific tasks yields strong generalization. This work established the foundational paradigm that would evolve into GPT-2, GPT-3, and subsequent large language models.