University of California, Berkeley, Center for AI Safety, and Microsoft Research, released a comprehensive trustworthiness evaluation platform for large language models (LLMs), which is presented in the recent paper:DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models – ...
Waiting for regulations to tell you what to do isn’t enough, as the pace of technical advancement increases so the potential for AI to become an existential threat to your organization increases. If you can’t trust your machine learning models to do what they should, how do y...
(Multimodal DecodingTrust), designed to provide a comprehensive safety and trustworthiness evaluation for MMFMs. Our platform assesses models from multiple perspectives, including safety, hallucination, fairness/bias, privacy, adversarial robustness, and out-of-distribution (OOD) generalization. We have ...
TrustEEGDynamic causal modelingTrust and distrust have long been viewed as two ends of one spectrum that shared the same neurological constructs. However, there is neurological evidence that trust and distrust are outcomes of different cognitive processes. This study uses dynamic causal modeling (DCM)...
docker run -it --rm --name=$CONTAINER_NAME \ --runtime=nvidia \ --gpus all \ --shm-size=16GB \ -e NGC_API_KEY=$NGC_API_KEY \ -v "$LOCAL_NIM_CACHE:/opt/nim/.cache" \ -v /local/path/to/custom/backends:/custom-backends \ -u $(id -u) \ -e NIM_TRUST_CUSTOM_CODE=1 ...
作者:Ron Friedman 出版社:Simon & Schuster 副标题:How the Best in the World Reverse Engineer Success 出版年:2021-6-15 页数:288 ISBN:9781982135799 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· For ...
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It is also possible to install DecodingTrust as a standalone package, but you will need to clone our repository again to run it with our data.conda create --name dt-test python=3.9 conda activate dt-test pip install "decoding-trust @ git+https://github.com/AI-secure/DecodingTrust.git"...
Thus, in 2023, atSecure Learning Lab, we introducedDecodingTrust, the first comprehensive and unified evaluation platform dedicated to assessing the trustworthiness of LLMs. (This work won theOutstanding Paper Awardat NeurIPS 2023.) DecodingTrust provides a multifaceted evaluation framework coveri...
Thus, in 2023, at Secure Learning Lab, we introduced DecodingTrust, the first comprehensive and unified evaluation platform dedicated to assessing the trustworthiness of LLMs. (This work won the Outstanding Paper Award at NeurIPS 2023.) DecodingTrust provides a multifaceted evaluation frame...