Artificial Intelligence

How Generative AI Works

The following information was generated using Google Gemini to answer "How does generative AI work?"

Generative AI works by learning patterns from massive amounts of data and then using that knowledge to create new, original content.

Here's a simplified breakdown of the process:

1. Training: The AI model is trained on a huge dataset of text, images, or other forms of data. As it processes this data, it learns the underlying patterns, structures, and relationships.
2. Understanding: The model develops an understanding of the data, including grammar, style, and context.
3. Generation: When prompted, the AI uses its understanding to generate new content that is consistent with the patterns it learned during training.

For example:

• Text Generation: If trained on a dataset of Shakespeare's plays, a generative AI model could write new Shakespearean-style sonnets.
• Image Generation: If trained on a dataset of images of cats, a generative AI model could create new, realistic images of cats that it has never seen before.

Generative AI has the potential to revolutionize many fields, from art and entertainment to science and business. However, it is important to be aware of the limitations and ethical considerations associated with this technology.

Government Accountability Office. (2023). Science and tech spotlight: Generative AI. Science, Technology Assessment, and Analytics. https://www.gao.gov/assets/830/826491.pdf 

Google. (2024). Gemini (Oct 11 version) [Large language model]. https://gemini.google.com

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