[ICML 2024] TrustLLM: Trustworthiness in Large Language Models
Evaluate the trustworthiness of large language models using the TrustLLM toolkit for comprehensive assessments and dynamic evaluations.
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TrustLLM has 630 stars on GitHub. It has been forked 67 times. TrustLLM is written mainly in Python. It has been in active development since 2023. TrustLLM is available under the MIT license. Its main topics are ai, benchmark, dataset, evaluation.
[ICML 2024] TrustLLM: Trustworthiness in Large Language Models
TrustLLM is an open-source project. It is released under the MIT license.
Yes. TrustLLM is free and open source — you can use, modify and self-host it.
TrustLLM is available under the MIT license.
TrustLLM is written mainly in Python.
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