Unverified50% confidenceFactExact time
After training is complete, a large model's knowledge is fixed at the training cutoff and it cannot perceive new information after that point; Function Calling allows the model to call external functions to obtain additional capabilities or real-time data.
1
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50%
Confidence
Long-term
Relevance
9/17/2026
First Seen
Sources
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Related Claims
VerifiedThe content returned by large models is essentially data from the point in time when they were trained, with a definitive knowledge cutoff.78% similarUnverifiedLarge model inference refers to the process by which a model, after completing training, receives user input and generates output in real time, and is extremely sensitive to latency.75% similarUnverifiedNative large models are trained on publicly available data, have no independent reasoning ability, can only perform probabilistic generation based on learned knowledge, and have a knowledge cutoff date.75% similarUnverifiedParametric memory is static, read-only knowledge solidified into model weights during the training phase and does not update through conversation after training is complete.75% similar
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