Expired50% confidenceFactExact time
Instruction Tuned LLMs are trained to be Helpful, Honest, and Harmless, significantly reducing the probability of generating toxic content.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Core Insights from Andrew Ng's Prompt Engineering Course: From Fundamentals to Practice
bilibiliClaudeCode教程6/16/2026
Related Claims
Unverified指令微调模型被训练得更有帮助、诚实、无害（helpful, honest, harmless），输出有害内容的概率大幅降低79% similarUnverified当前主流 LLM 采用指令遵循（Instruction Following）训练方式，会用概率最高的方式补全输出68% similarUnverifiedCurrent mainstream LLMs universally adopt a pre-training plus fine-tuning paradigm, first performing unsupervised pre-training on internet-scale corpora, then aligning with human preferences through techniques such as RLHF.64% similarUnverifiedLLM 在 RLHF 训练中被强化了「尽快给出有用输出」的行为倾向，默认帮用户做事优先于和用户对齐认知62% similarUnverified后训练的成熟度直接决定模型的token效率，成熟的后训练能减少无效推理token的消耗62% similar
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