Using ChatGPT to generate Python code for data manipulation

The video tutorial explains how to use ChatGPT to generate Python code for transforming a dataset into prompts and completions. It covers the process of prompt engineering, specifying dataset features, and generating code that creates a new dataframe with added columns for prompts and completions. The tutorial also discusses saving the modified dataframe for further use.

What is the main purpose of using ChatGPT in the context of the lesson?

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Describe the process of converting a data set into prompts and completions.

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What features and requirements should be described for effective prompt engineering?

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Explain how the Python code interacts with the CSV file.

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What specific details about the movies are included in the prompts and completions?

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How does the code handle the creation of new columns in the data set?

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What is the significance of saving the modified data frame in a new CSV file?

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