Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Explore a collection of resources and papers about the reliability and robustness of large language models.
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Awesome-LLM-Uncertainty-Reliability-Robustness has 834 stars on GitHub. It has been forked 59 times. It has been in active development since 2023. Awesome-LLM-Uncertainty-Reliability-Robustness is available under the MIT license. Its main topics are awesome-list, calibration, chain-of-thought, chatgpt.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Awesome-LLM-Uncertainty-Reliability-Robustness is an open-source project. It is released under the MIT license.
Yes. Awesome-LLM-Uncertainty-Reliability-Robustness is free and open source — you can use, modify and self-host it.
Awesome-LLM-Uncertainty-Reliability-Robustness is available under the MIT license.
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