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danielz02
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86c0955
Remove acknowledgement for now
Browse files- src/display/about.py +0 -16
src/display/about.py
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@@ -133,22 +133,6 @@ singularity exec --nv --bind /path/on/host:/path/in/container decoding-trust-v1.
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To run our evaluations, checkout our [tutorial](https://github.com/AI-secure/DecodingTrust/blob/main/Tutorial.md).
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## Acknowledgment
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We thank our academic and industry collaborators for providing us with computation resources for the evaluation.
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Please don't hesitate to reach out if you are interested in sponsoring compute for us to evaluate more models!
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### Lawrence Livermore National Laboratory
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![LLNL Logo](https://www.hpcwire.com/wp-content/uploads/2020/11/llnl-logo.png)
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### Together AI
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![Together.ai Logo](https://assets-global.website-files.com/64f6f2c0e3f4c5a91c1e823a/654692b86325351d86c33550_og-hp.jpg)
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### Center for AI Safety
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![safe.ai](https://upload.wikimedia.org/wikipedia/commons/2/2e/Center_for_AI_Safety_logo.png)
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## Changelog
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01/17/24: Add the initial version of the leaderboard
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To run our evaluations, checkout our [tutorial](https://github.com/AI-secure/DecodingTrust/blob/main/Tutorial.md).
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## Changelog
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01/17/24: Add the initial version of the leaderboard
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