Have you ever asked yourself how artificial intelligence can generate images or paintings, write a story, or compose a melody? The answer to your question is generative AI. In this article, we will explain, what is generative AI and give examples of its application in real life.
Generative AI involves the creation of new content such as images, texts, audio, or videos. Such systems are fed with a large data corpus from which they learn patterns and structures that are then used to build something new. It goes beyond mimicking the already-created content. It is about creating new ideas based on the data the models have been fed. Here are some of the examples of the generative AI:
Probably the most popular example of generative AI is ChatGPT – an AI developed by the OpenAI company. It is a language generation model that is intended to provide grammatically correct and contextually appropriate text. From handling customer service calls to writing emails, ChatGPT leads how AI works with language-based problems. There are also practical uses for it. For example, in creative writing, ChatGPT can assist the author in coming up with a concept or in finishing some material.
DALL-E is another OpenAI product that describes a generative AI model for producing images based on text prompts. Longing for a picture “cat wearing an astronaut costume”? With DALL-E, that can be made possible. You can use it in graphic design, marketing, and even entertainment industries.
Jukedeck is artificial intelligence to generate music. It can create new music tracks from scratch depending on the inputs, it can use parameters like mood, tempo, or even genre. Whether you are a YouTuber requiring background music, or a game developer desiring unique soundtracks, Jukedeck offers custom music composition with just one click.
Deep fake videos refer to the fake videos produced through the help of generative AI. DeepFaceLab is one of the most effective instruments for creating deepfakes that replace faces in videos so that it seems that someone else is speaking or acting. However, the same technology is not entirely negative and has its applications in the creation of movies and other digital content.
In the fields of architectural design and products, generative AI aids in the process of innovations. Dreamcatcher provides users with an environment to input parameters like material, dimensions, and weight of the part as a starting point of the design. The AI proposes a set of design solutions that satisfies these requirements, which helps engineers and architects produce more creative proposals more quickly.
WaveNet is an example of the generative model by Google DeepMind. It is an AI that performs the synthesis of realistic human voices. It currently works with Google Assistant and can also create voices for audiobooks, call centers, and even video games. To keep the end user’s experience smooth, the AI models the different patterns of speech to simulate natural conversation.
Runway ML is another generative or cloning tool that enables users to generate videos from text or even using stile transfer methods. It is useful for content creators, animators, and advertisers to create videos that are easy and appealing. Since AI understands the given prompts, full video sequences can be created without requiring basic editing.
Generative AI goes through models such as Generative Adversarial Networks or GAN and the transformer models. For instance, in GANs there are two networks – a generator and a discriminator which act oppositely. One part of generative adversarial networks is the generator, which generates content, while the discriminator to authenticates it. It operates in a cycle manner until the point that its produced output is as realistic as possible.
GPT, DALL-E, and other such transformer models can create natural and logical content because they can understand context and inter-relationships of words or pixels using attention mechanisms.
Now generative AI is already beginning to transform numerous industries, including entertainment and design, health care, and education. Nevertheless, it’s not without its fair share of problems. Misinformation that is generated through AI technologies for clearly unethical purposes includes deepfakes or plagiarized art. However, applying generative AI makes it possible to innovate, create, and find solutions for many tasks if it is controlled.
In the future, the role of generative AI will only grow more ubiquitous and may even pave the way to innovative strategies for art and media consumption. A future where AI can help with designing every aspect of your life starting from your music to the cities you live in.
The concept of Generative AI is something new and very promising for people who search for ideas and opportunities with unlimited potential. From generating text to producing art and music and even making videos, AI is ushering in a new era. As technology advances, it also helps to expand new ways of communication and creativity and to solve previously unsolvable problems.
Now every time you come across beautiful digital art or listen to a song generated by someone, it might be AI.