Generative Artificial Intelligence is a new and exciting type of AI. Unlike traditional computer programs that mostly analyze or categorize information, Generative AI has the ability to create completely new content. This means it can produce things that did not exist before, such as articles, images, music, and computer code. It is a major leap from simply sorting data to actually building something from scratch.
This technology works by using very large, complex models that are trained on huge amounts of existing data, sometimes billions of examples. By studying all this information, the AI learns the patterns, grammar, style, and structure of the content. For example, by reading millions of books, a Generative AI model learns how to write a good story. When a user gives it a prompt, like "Write a poem about a space dog," the model uses its learned patterns to produce a unique, original response.
The most common applications today involve large language models (LLMs) that create text, like summaries, emails, or stories. Other powerful models, often called text-to-image models, can take a simple text description ("a cat wearing a small hat, painted in the style of Van Gogh") and instantly generate a detailed, high-quality picture. Generative AI is rapidly changing many industries, from marketing and design to software development.
However, the rapid growth of Generative AI also makes AI Governance, making rules for AI, even more important. Since these tools create so much content so quickly, we need rules to ensure the content is accurate, fair, and not used to spread false information. This technology shows how quickly AI is evolving, moving from problem-solvers to creative partners.
