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GitHub - openai/gpt-2: Code for the paper "Language …
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 post. We have also released a dataset …
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Better language models and their implications - OpenAI
Feb 14, 2019 · GPT-2 is a large transformer (opens in a new window)-based language model with 1.5 billion parameters, trained on a dataset A of 8 million web pages. GPT-2 is trained with a simple objective: predict the next word, …
Fine-tuning GPT-2 from human preferences - OpenAI
Sep 19, 2019 · We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks, successfully matching the preferences of the external human labelers, though those preferences did not always match …
GPT-2 - Wikipedia
Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in …
OpenAI GPT2 - Hugging Face
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 the previous words within some text.
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The Illustrated GPT-2 (Visualizing Transformer Language Models)
OpenAI GPT-2: Understanding Language Generation …
Mar 5, 2019 · GPT-2 has a whopping 1.5 billion parameters (10X more than the original GPT) and is trained on the text from 8 million websites. How does one make sense of a model with 1.5 billion parameters? Let’s see if visualization …
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