Unverified50% confidenceDecision RuleExact time
The applicable boundary of a small decision model depends on the degree of task determinism: when the tool set is fixed, the business process is enumerable, and user intents can be summarized into a finite number of categories, a decision model can cover most cases with a very small number of parameters; once it enters domains that are ambiguous, polysemous, and require a large amount of world knowledge, the decision model may lack sufficient semantic understanding capability.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen a model gives answers of vastly different quality for semantically equivalent but differently phrased questions, it indicates that the model has overfitted to surface-level wording rather than truly mastering the underlying task.74% similarUnverifiedThe model-driven approach may lack sufficient controllability in complex business scenarios, and fully relying on the model to make autonomous decisions may lead to unpredictable behavior.74% similarUnverifiedThe effect of few-shot prompting shows strong task dependence, with task nature being the key variable determining whether examples are effective.73% similarUnverified验证环节的模型选择是大模型还是专门化小智能体是一个架构权衡：大模型能力全面但成本高延迟大，小智能体轻量可控但可能覆盖不全，业界尚无定论72% similarUnverifiedThe model's tool-triggering decision is essentially a probabilistic threshold problem: when confidence exceeds the threshold the model tends to answer directly, and only triggers retrieval when confidence falls below it.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1019619API
curl https://kongchang.com/api/v1/knowledge/claims/1019619MCP
get_claim(id=1019619)