A team wants factual answers about current public information rather than only a model's static knowledge. Which approach best fits?

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  1. Evaluate a higher supported sampling temperature.
  2. Set appropriate output-token limits and request the desired concise format.
  3. Specify the task, relevant context, audience, and required format.
  4. Evaluate grounding with Google Search for the supported model and task.

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