• Build evaluations, mitigations, and approach deployment with real-world usage
in mind: Context of use such as who the users are, what the speciﬁc use case is, where the
model is being deployed, etc., is critical to mitigating actual harms associated with language
models and ensuring their deployment is as beneﬁcial as possible. It’s particularly important to
account for real-world vulnerabilities, humans roles in the deployment context, and adversarial
attempts. We especially encourage the development of high quality evaluations and testing of
model mitigations on datasets in multiple languages.
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