Q. With reference to Generative AI, consider the following statements:
1.The primary goal of generative models in AI is to optimize decision-making processes.
2.Generative adversarial networks (GANs) are a common technique used in Generative AI.
Which of the statements given above is/are correct?
Explanation –
Statement 1 is incorrect. The goal of generative models is not to optimize decision-making processes, but rather to generate new data that resembles the training data. This can be used for a variety of purposes, such as data augmentation, synthetic data generation, or creative applications like art and music generation.
Statement 2 is correct. Generative adversarial networks (GANs) are a popular technique used in Generative AI. GANs consist of two neural networks that work against each other to generate high-quality, realistic data. The generator network creates new data based on the training data, while the discriminator network tries to differentiate between real and generated data.
Source: Forum IAS
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