Unverified50% confidenceOpinionExact time
Combining LLMs' probabilistic reasoning capabilities with verified deterministic tools, supplemented by security governance, is a pragmatic path for AI deployment in professional domains.
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50%
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Long-term
Relevance
10/12/2026
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UnverifiedAlthough LLMs do not directly output normalized probability vectors, decision confidence can be approximately estimated through various engineering methods.71% similarUnverifiedWhen applying LLMs to scenarios requiring rigorous logic, introducing human-machine collaboration and external verification tools is more pragmatic than blindly trusting model outputs.71% similarUnverifiedOne testing strategy for uncertainty in AI system outputs is LLM-as-Judge: using another model to score output quality.71% similar
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