Generative AI Fundamentals: Simple and Accurate Explanation for How Gen AI Works

Learn how generative AI creates realistic and novel content from existing data, using techniques such as deep neural networks and generative models.

Question

You want to explain to a colleague how gen AI works. Which of the following would be a good explanation?

A. Gen AI randomly generates new content without any input from existing data.
B. Gen AI uses a set of rules to generate new content that is always unique and original.
C. Gen AI determines the relationship between datasets and classifies data according to existing data sets.
D. Gen AI learns from existing data and then creates new content that is similar to the data it was trained on.

Answer

D. Gen AI learns from existing data and then creates new content that is similar to the data it was trained on.

Explanation

The correct answer is D. Gen AI learns from existing data and then creates new content that is similar to the data it was trained on. This is a good explanation because it captures the essence of how generative AI works, using techniques such as deep neural networks and generative models to produce realistic and novel content.

Some of the other options are incorrect or incomplete because:

• A. Gen AI randomly generates new content without any input from existing data. This is incorrect because generative AI does not create content out of thin air, but rather uses existing data as a source of inspiration and guidance.
• B. Gen AI uses a set of rules to generate new content that is always unique and original. This is incomplete because generative AI does not rely solely on predefined rules, but also learns from data and adapts to different tasks and domains. Moreover, the content generated by generative AI is not always unique and original, as it may contain similarities or repetitions with the training data or other generated content.
• C. Gen AI determines the relationship between datasets and classifies data according to existing data sets. This is not a description of generative AI, but rather of another type of AI called discriminative AI, which focuses on finding patterns and making predictions from data.

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