Comparisons
What's the difference between training data and live search?
Training data is material used to shape a model during training, while live search is information retrieval performed when a question is processed.
Training influences learned patterns; live search can supply external context without retraining the model. A system may combine learned information with retrieved material.
A current source does not guarantee an accurate answer. A webpage update may affect retrieval without changing what the model learned during training.
In Seenford
Why it matters in Seenford: verdicts describe the exact answers returned, with receipts rather than assumptions about where the model obtained its information.
Example
An answer combines an older learned description with a newly retrieved service page.
Related terms
Updated
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