Unverified50% confidenceFactExact time
In an example given by Anthropic, 'Be maximally thorough' caused the model to perform dozens of entirely unnecessary knowledge base retrievals.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
UnverifiedIf the tool-triggering judgment is too conservative, necessary searches will be missed; if too aggressive, every simple question will trigger unnecessary retrieval, wasting resources and slowing responses.69% similarUnverifiedFor complex tasks requiring open-ended research and deep cross-page reasoning, small models are difficult to match even after fine-tuning, making large models indispensable.67% similarUnverifiedAnthropic建议始终从最简单的方案开始构建代理式系统，只有当简单方案确实无法满足需求时才增加复杂性66% similarUnverifiedFine-tuning is worth considering when the model's accuracy in a vertical domain is insufficiently high, it frequently produces hallucinations, or it needs to master proprietary enterprise knowledge.66% similarUnverifiedLarge language models tend to solve problems using general reasoning while lacking strict adherence to domain-specific rules and self-verification capabilities.65% similar
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