Question 4: Multiple Choice

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Which strategy has the greatest impact on the data quality in generative AI models?

Options:

1.

Adopting a clear data acquisition, cleaning, and updating strategy

2.

Prioritizing legal and security considerations in AI applications

3.

Relying mostly on external public data sources for model training

4.

Investing primarily in processing power and data storage

Answer

1.

Adopting a clear data acquisition, cleaning, and updating strategy

Feedback:

Option 1:

This option is correct. Having a clear data strategy, including acquisition, cleaning, management, and updating, is essential for providing high-quality data to power generative AI models that can produce reliable and accurate outputs.

Option 2:

This option is not correct. Legal and security considerations are crucial when implementing AI, but they are not the strategies that directly emphasize the importance of data quality.

Option 3:

This option is not correct. While public data sources can be valuable, relying mostly on them could limit the scope and effectiveness of the AI model.

Option 4:

This option is not correct. While processing power and data storage are essential for generative AI, this does not directly address the strategy that emphasizes the importance of data quality.