Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in this paper and first released at this page. Disclaimer: The team releasing GPT-2 also …

GPT-2 has, like its predecessor GPT-1 and its successors GPT-3, GPT-4 and GPT-5, a generative pre-trained transformer architecture, implementing a deep neural network, specifically a transformer …

Code and models from the paper "Language Models are Unsupervised Multitask Learners". You can read about GPT-2 and its staged release in our original blog post, 6 month follow-up post, and final …

Feb 14, 2019 · Our model, called GPT‑2 (a successor to GPT ⁠), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, …

Jan 30, 2025 · GPT-2 transformed AI by proving the potential of large-scale unsupervised learning. Despite ethical challenges, its contributions to NLP—from creative writing to zero-shot …

GPT-2 is a large transformer-based language model with 1.5 billion parameters, trained on a dataset [1] of 8 million web pages. GPT-2 is trained with a simple objective: predict the next word, given all of …

Aug 12, 2019 · The GPT2 was, however, a very large, transformer-based language model trained on a massive dataset. In this post, we’ll look at the architecture that enabled the model to produce its results.

May 15, 2025 · In this tutorial, you’ll discover how to implement text generation using GPT-2. You’ll learn through hands-on examples that you can run right away, and by the end of this guide, you’ll …

Oct 2, 2024 · GPT-2 is a transformer-based language model. The transformer architecture, introduced by Vaswani et al. in 2017, is a foundational structure in deep learning for tasks involving sequential …

In this chapter, we take a deep dive into the architecture of one of the first truly Large Language Models - GPT-2. GPT-2 is an LLM that was released by OpenAI in 2019, which sparked widespread public …