55 lines
2.4 KiB
Markdown
55 lines
2.4 KiB
Markdown
**Status:** Archive (code is provided as-is, no updates expected)
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# gpt-2
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Code from the paper ["Language Models are Unsupervised Multitask Learners"](https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf).
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We have currently released small (117M parameter) and medium (345M parameter) versions of GPT-2. While we have not released the larger models, we have [released a dataset](https://github.com/openai/gpt-2-output-dataset) for researchers to study their behaviors.
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See more details in our [blog post](https://blog.openai.com/better-language-models/).
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## Usage
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This repository is meant to be a starting point for researchers and engineers to experiment with GPT-2.
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### Some caveats
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- GPT-2 models' robustness and worst case behaviors are not well-understood. As with any machine-learned model, carefully evaluate GPT-2 for your use case, especially if used without fine-tuning or in safety-critical applications where reliability is important.
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- The dataset our GPT-2 models were trained on contains many texts with [biases](https://twitter.com/TomerUllman/status/1101485289720242177) and factual inaccuracies, and thus GPT-2 models are likely to be biased and inaccurate as well.
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- To avoid having samples mistaken as human-written, we recommend clearly labeling samples as synthetic before wide dissemination. Our models are often incoherent or inaccurate in subtle ways, which takes more than a quick read for a human to notice.
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### Work with us
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Please [let us know](mailto:languagequestions@openai.com) if you’re doing interesting research with or working on applications of GPT-2! We’re especially interested in hearing from and potentially working with those who are studying
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- Potential malicious use cases and defenses against them (e.g. the detectability of synthetic text)
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- The extent of problematic content (e.g. bias) being baked into the models and effective mitigations
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## Development
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See [DEVELOPERS.md](./DEVELOPERS.md)
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## Contributors
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See [CONTRIBUTORS.md](./CONTRIBUTORS.md)
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## Citation
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Please use the following bibtex entry:
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```
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@article{radford2019language,
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title={Language Models are Unsupervised Multitask Learners},
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author={Radford, Alec and Wu, Jeff and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya},
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year={2019}
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}
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```
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## Future work
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We may release code for evaluating the models on various benchmarks.
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We are still considering release of the larger models.
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## License
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[MIT](./LICENSE)
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