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Practice

Fine-Tuned Model Specializing in Tabular Data

To effectively understand data at a glance, organizing it in a tabular format is often most effective.

In this lesson, we will compare a general AI model with a fine-tuned model specializing in tabular data and observe the differences in their response results.


Differences from Prompt Engineering​

When organizing data in tabular form is necessary, Prompt Engineering involves explicitly including requests like Please organize the data in a table format in the prompt.

In contrast, a fine-tuned model is retrained to organize responses to various questions in a tabular format, providing organized responses without the need for explicit requests within the prompt.


Practice​

  1. Copy the Prompt: Click the Copy button at the top right of the box below to paste it into the input box at the bottom right.
Prompt Example
Please create a weekly workout schedule from Monday to Sunday.
The workout will last one hour each day.
If a rest day is needed, please include it.
  1. Execute Report Writing: Send the selected prompt to have AI generate a report. Compare the output results on both screens.

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