What are the differences between synthetic and real data?

What are the differences between synthetic and real data?

Synthetic data is artificially generated, while real data is collected from actual events or observations.

What are the advantages of using synthetic data?

Synthetic data can help in scenarios where real data is scarce, expensive, or sensitive, allowing for safer testing.

Are there any downsides to using synthetic data?

Yes, synthetic data may not capture all the complexities of real-world scenarios, leading to potential biases.

Can synthetic data be used for training AI models?

Absolutely! Many AI models are trained on synthetic data to enhance their performance and generalization.

How do you generate synthetic data?

Synthetic data can be generated using algorithms, simulations, or by modifying existing datasets to create new examples.