Unverified50% confidenceOpinionExact time
Kilpatrick explicitly stated that when a use case requires higher reliability, fine-tuning is a direction worth investing in.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
Unverified函数调用的可靠性高度依赖于工具描述的质量，清晰的参数说明和使用示例往往比模型本身能力更能决定工具调用成功率67% similarUnverifiedA reasonable approach is to first validate results with medium dimensions plus quantization, then decide whether to upgrade to higher dimensions or precision.66% similarUnverifiedFunctional correctness is only one dimension of software quality; a reliable product must also be usable, accessible, secure, resilient, and behaviorally predictable under unexpected conditions.65% similarUnverifiedKnuth倡导基于测量（profiling）的优化方法论：先识别热点代码再集中优化63% similarUnverifiedVerifying the correctness of continual learning algorithms does not depend on the model having to reach a specific performance baseline.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1063994API
curl https://kongchang.com/api/v1/knowledge/claims/1063994MCP
get_claim(id=1063994)