Unverified50% confidenceFactExact time
With the introduction of large language models, a lead scoring system can understand free-text fields in forms and judge purchase intent, budget signals, and urgency at the semantic level, rather than relying solely on structured fields.
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50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
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Related Claims
UnverifiedCustom 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.79% similarVerifiedTONGYI Lingma's underlying layer relies on the code understanding and generation capabilities of the Tongyi Qianwen series of large language models.76% similarVerifiedThe output of large language models is fundamentally probabilistic text generation, and a single rephrasing of a prompt can change field names, nesting levels, or enumeration values in the output without triggering compile-time or static analysis warnings.75% similar
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