Does answering a prompt usually update the model's parameters?
No. Ordinary inference uses existing parameters to process the available context. Training or fine-tuning is a separate process from generating a response.
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The underlying generation process is commonly incremental, and applications may stream text as it becomes available. The exact display behavior depends on the feature and workflow.
Available conversation messages provide context about the topic, previous choices, and requested style. Changing that context can change which continuation the model produces.
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