like any other boring server. Without it, we can not even plan for the RISC-V
For safety fine-tuning, we developed a dataset covering both standard and India-specific risk scenarios. This effort was guided by a unified taxonomy and an internal model specification inspired by public frontier model constitutions. To surface and address challenging failure modes, the dataset was further augmented with adversarial and jailbreak-style prompts mined through automated red-teaming. These prompts were paired with policy-aligned, safe completions for supervised training.
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Стало известно о возможном ударе по Ирану новой страной14:21
Why This Approach Still Makes Sense