The correct option is It infers an answer using patterns it learned during training rather than executing deterministic calculation.

Large language models in Vertex AI generate tokens based on learned patterns and probabilities rather than running exact algorithms. Arithmetic outputs are therefore inferred from training and can be right for many cases although they are not guaranteed to be exact or repeatable.

For exact computation you would need to connect the model to a tool that performs deterministic math such as through function calling or external code execution. In the default setup there is no such automatic execution which is why the model relies on pattern inference.

It forwards every numeric prompt to a managed service on Google servers that performs all math for the model is incorrect because the base model does not automatically delegate math to a separate managed math service. The model generates answers directly unless you explicitly integrate a tool.

It uses a symbolic mathematics engine that is built into the model to deliver exact computation is incorrect because these models do not include a built in symbolic math engine. They generate likely tokens rather than perform formal algebraic manipulation.

It runs the arithmetic within a Python runtime by invoking Cloud Functions to ensure precise results is incorrect because there is no default invocation of a Python runtime or Cloud Functions during normal prompting. Such execution requires deliberate tool integration.

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