Unless you have been living under a rock, you’ve probably heard about the booming trend of ‘Generative AI’ ūüėČ

What is generative AI, and what is the relationship between generative AI and Deep Learning?

In this article, we will shed some light on this topic and list some of the applications for generative AI that have started to boom worldwide.

Understanding Generative AI

A subset of artificial intelligence methods, Generative AI, aims to produce unique, imaginative, and indistinguishable from human-created content. It includes a range of neural networks, models, and algorithms trained on enormous amounts of data to recognize patterns, styles, and structures. Algorithms using generative AI can produce new coherent, pertinent information to a particular domain.

Generative AI and Deep Learning are closely related. Generative AI is, in fact, a subfield of Deep Learning. Deep Learning is a branch of Machine Learning that involves training artificial neural networks to learn and make predictions from input data. Deep Learning models are typically composed of multiple layers of interconnected neurons, and they are trained using large datasets to learn complex patterns and relationships.

Generative AI, on the other hand, is focused on creating new data that is similar to the training data. Generative AI algorithms are designed to learn the underlying distribution of the training data and generate new data points similar to the original data. This can be used for various applications, such as generating realistic images, music, or text.

Deep Learning is used extensively in Generative AI, as many generative models are based on neural networks. For example, Generative Adversarial Networks (GANs) are a popular type of Generative AI model that use two neural networks to generate new data. One network generates the data, while the other tries to distinguish between the generated and the actual data. The two networks are trained together, and over time, the generator network learns to create data that is indistinguishable from the real data.

In summary, Generative AI is a subfield of Deep Learning that focuses on creating new data similar to the training data, and many generative models are based on neural networks.

Applications of Generative AI

Generative AI has a wide range of potential applications across various fields. Download our comprehensive superhuman AI Guide by clicking this link!