Retired Feb 14, 2019. Superseded by GPT-2. Available only on HuggingFace as a historical artifact.“The quiet beginning no one noticed.”
GPT-1 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 16.7% across 36 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 7 challenges.
These are the models that show up when GPT-1 doesn't. Or when it does, but you want a second opinion. Which is healthy.
Retired Feb 14, 2019. Superseded by GPT-2. Available only on HuggingFace as a historical artifact.“The quiet beginning no one noticed.”
GPT-1 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 16.7% across 36 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 7 challenges.
These are the models that show up when GPT-1 doesn't. Or when it does, but you want a second opinion. Which is healthy.
The first large-scale transformer-based language model released by OpenAI, trained on the BooksCorpus dataset. This version is accessed via the Hugging Face model hub (`openai-community/openai-gpt`).
Taste is judged on an uncapped scale where 100 is the reference, originality first. The space past 100 is the craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
7 outputs from GPT-1
The first large-scale transformer-based language model released by OpenAI, trained on the BooksCorpus dataset. This version is accessed via the Hugging Face model hub (`openai-community/openai-gpt`).
Taste is judged on an uncapped scale where 100 is the reference, originality first. The space past 100 is the craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
7 outputs from GPT-1