Unverified50% confidenceFactExact time
Explainability refers to a system's ability to explain its decision-making process and the basis of its outputs in a way humans can understand, and current large language models have structural deficiencies in this regard.
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Long-term
Relevance
10/14/2026
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Related Claims
UnverifiedSystem prompt-based solutions are essentially natural language conventions and can easily be bypassed by jailbreak attacks, prompt injection, or unintended model behavior.72% similarUnverifiedAn agent typically contains a large language model as its brain, a number of callable tools as its hands and feet, as well as memory and workflow orchestration mechanisms.70% similarUnverifiedLarge language models can not only recognize characters but also understand contextual semantics to automatically correct recognition errors.70% similarUnverifiedCustom instructions correspond at the underlying level to the system prompt mechanism of large language models; system prompts have the highest priority and are not visible to users.70% similarUnverifiedThe context and constraints provided by the user directly determine the direction and quality of the large language model's generation, which is why prompt engineering is important.69% similar
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