Linux or Windows NT sources (both of these were written without any
Temperature. At temperature=0.1, the LLM is nearly deterministic. Residual success at this setting usually means the attack payload was strong enough to overcome the defenses consistently. At temperature=0.5 or higher — common in conversational systems — the residual rate would be meaningfully higher. For high-stakes RAG use cases (financial reporting, legal, medical), temperature should be as low as the use case allows.
。heLLoword翻译对此有专业解读
void *remoteBar;
模型本身的事实校验能力不够强，即使拿到了正确的检索结果，也可能在生成环节引入错误。这两个问题叠加在一起，就是用户体验上的“搜了也不准”。
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