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Bookmark or Share- OpenAI GPT2 - Hugging FaceGPT-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. The diversity of the dataset causes this simple goal to contain naturally occurring demonstrations of ...
- GPT-2: 1.5B release - OpenAIHumans find GPT-2 outputs convincing. Our partners at Cornell University surveyed people to assign GPT-2 text a credibility score across model sizes. People gave the 1.5B model a “credibility score” of 6.91 out of 10. This is marginally greater than outputs from the 774M model (6.72) and significantly above the medium 355M model (6.07).
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- GPT-2: 6-month follow-up - OpenAIWe’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February, staged release of our medium 355M model in May, and subsequent research with partners and the AI community into the model’s potential for misuse and societal benefit. We’re also releasing an open-source legal agreement to make it easier for organizations to initiate model ...
- The Illustrated GPT-2 (Visualizing Transformer Language Models)The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architecture is very similar to the decoder-only transformer. The GPT2 was, however, a very large, transformer-based ...
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