Unverified50% confidenceFactExact time
The system prompt is a fixed set of instructions that the model receives first on every inference; it does not change with conversation turns, but it continuously occupies input tokens.
1
Sources
50%
Confidence
Long-term
Relevance
11/6/2026
First Seen
Sources
Always Running Out of Tokens? This Five-Layer Methodology Saves You Real Money
bilibili强国人工智能11/2/2026
Related Entities
Related Claims
UnverifiedA system prompt is an immediate constraint given to the model within a single session, whereas the Model Spec describes the general behavioral tendencies the model should internalize after training.77% similarUnverifiedPrompt caching reuses input processing, not model output or memory; each request is still a stateless, independent inference.75% similarUnverifiedMemory entries are injected into the context window as part of the system prompt; this is essentially a form of persistent prompt engineering that changes the input the model sees rather than the model's parameters.75% similarVerifiedWhen a prompt is entered, the model predicts the most likely next token based on context, rather than truly understanding the semantics.75% similarUnverifiedThe core mechanism of automatic prompt tuning is having the model continuously evaluate and revise its own outputs and prompts through multi-round interactions.75% similar
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