Generative Artificial Intelligence is a type of intelligence that can create new content such as text, images, music, and programming code. This can be likened to an artist or writer using their knowledge of the world to create something new. Generative AI technology can be revolutionary for future AI technologies!
Generative AI systems are trained on a large amount of data to learn patterns and relationships, and then use that knowledge to generate new examples that seem realistic. Also, it can produce original, realistic samples of content that match the style and qualities of its training data such as AI-generated art, story, video generator, and more. With this, the possibilities for innovation seem endless.
Some common types of generative AI include:
- Generative adversarial networks (GANs): GANs use two neural networks, a generator and a discriminator, that compete against each other. The generator creates a new example, like images, and the discriminator determines if they are real or fake. This competition drives the generator to become more realistic over time.
- Variational autoencoders (VAEs): VAEs compress data into a low-dimensional representation, and then regenerate new examples from that representation. They aim to generate diverse and complex examples.
- Transformer models: Transformer models like GPT-3 use self-supervised learning to understand language and generate coherent paragraphs, articles, poetry, coding, and more. We can say ChatGPT is an example to understand more easily.
- Creative adversarial networks (CANs): CANs are a type of GAN tailored for generating creative works like music, visual art, stories, and recipes. They are designed to produce more abstract and open-ended results.
Some examples of what generative AI can produce include:
- AI-generated images of people, animals, rooms, landscapes, etc.
- AI-composed music, poetry, stories, and movie scripts
- AI that can code websites, mobile apps, and software
In summary, generative AI has significant potential to enhance and scale human creativity. As the technology continues to progress, these AI systems are becoming increasingly skilled at producing realistic and meaningful content. Generative AI may one day transform how we create art, media, software, and more.
