Today, the majority of people use Generative AI daily, yet they don’t realize it. So this is your complete guide to this new version of AI, what does it mean? What are its usages? And more.
Introduction to generative AI
Generative AI is a type of Artificial Intelligence that has the ability to create a wide range of data, including videos, images, designs, motion graphics, 3D models as well as ad copies. Basically, it uses Natural Language Processing (NLP) in learning and creating patterns depending on old and exciting data to generate new outputs.
It’s true that human imagination can’t be compared with the bots’, however, we can’t underestimate the creativity that GenAI has. It is completely able to mimic human behavior in creating highly realistic and complex content and data, during a process of generating that takes one minute.
Generative AI models
- Generative Adversarial Networks (GANs)
A GAN is made up of two neural networks: the generator and the discriminator. The generator creates the data instances, and the discriminator checks whether it’s real or fake. Iterative training improves the generator’s ability to generate realistic data, and the discriminator’s ability to tell the difference between real and fake. As a result of this adversarial process, various types of content are created, from images to videos to audio.
- Variational Autoencoders (VAEs)
As another type of Generative AI, VAEs are another model that uses data to transform into results via a process of subdividing them into small parts to make the analysis easier, as well as creating outputs that are similar to the originals through an entire learning process. This model is most used in creating images, videos, graphics and any other visual data.
Generative AI applications
Today, with its 100 million users, ChatGPT has entered all of our offices, and maybe homes in the case of freelancers, not only to boost our performance but also to provide us with creative ideas when we can’t come up with anything new on our own.
ChatGPT – the latest tool of Generative AI, can carry sundry tasks for content creators, developers, designers and more from scratch that includes all types of visuals.
- Content writing
Who hasn’t asked ChatGPT to write their university assignments, or a story, or thesis or any other sort of written text? All you have to do is to give the right order, including the specific keywords or aspects you want to be focused on in the text. All texts from “A 1000-word-thesis about the environmental chemical changes” to “A 400-character story about a spaceship visiting the earth” will be done in a minute.
- Art and design
Image generation is a process that depends on algorithms such as GANs and VAEs to create photos that are very similar to real-world images. Data augmentation can improve machine learning models, as well as be used for creating art, generating product images, and more using Image Generation.
- Operational assistance
We all, regardless of our job titles and years of experience, have asked ChatGPT some questions such as: suggest good marketing ideas for a brand launching campaign, what is the history of the Industrial Revolution? How does climate change affect human life? And more of these questions. Generative AI is a digital encyclopedia that provides you with information about the topic you are asking.
What’s coming ahead?
“AI can not only boost our analytic and decision-making abilities but also heighten creativity.”
- Harvard Business Review
Today, doing the job per se is not enough; data analysis, reports, strategies, creativity, and speed are factors that should be taken into consideration during the process. Human capabilities are optimized using different models of Generative AI in order to conduct all of these tasks more efficiently and unlock the new potential that can transform the businesses’ future.