Вештачка интелигенција

The Power of Generative Artificial Intelligence

Summary

Generative Artificial Intelligence (generative AI) has become ubiquitous in recent years. This technology refers to machine learning that is trained to generate new data instead of making predictions based on existing datasets. Generative AI systems learn how to generate objects […]

The Power of Generative Artificial Intelligence

Generative Artificial Intelligence (generative AI) has become ubiquitous in recent years. This technology refers to machine learning that is trained to generate new data instead of making predictions based on existing datasets. Generative AI systems learn how to generate objects that resemble the data they were trained on.

Philip Isola, an associate professor of electrical engineering and computer science at MIT, states that the machine algorithms used in generative artificial intelligence can also be applied to other types of artificial intelligence. This technology is not new and is based on research that goes back more than 50 years.

Generative artificial intelligence has become more complex over time. A few years ago, researchers focused more on finding the best algorithm to train a specific dataset. However, today, larger datasets with hundreds of millions or even billions of data points are used to train models that achieve impressive results.

There are various architectures that support generative AI, such as Generative Adversarial Networks (GANs), diffusion models, and transformers. These architectures enable the generation of realistic images, text, and other data.

The application of generative artificial intelligence is wide-ranging. This technology can be used in different fields, including creative industries, medicine, finance, and many others.

FAQ