Artificial Intelligence has been making a lot of name for itself and impacting every industry. AI’s current value of 100 billion US Dollars is expected to grow 20 times by 2030 and reach up to nearly 2 trillion Dollars by 2023. Don’t be surprised if this number is much more than that!
There are various types of AI and a lot of tools that are used for several purposes. But are you aware of a term called “Generative AI”? Do you know what it is used for?
If not, then you’ve come to the right place as in this blog, we’ll be looking at what generative AI is, its use case and application, and why it is so important for us. So let the learning begin!
What is Generative AI?
So what do we really mean by generative AI? Well, it is a type of AI that can create new and unique outputs, such as images, videos, music, and text.
Opposing traditional AI which mainly identifies and categorizes the already existing data, generative AI actually goes on to create new and unique outputs on the basis of a set of rules or learnt models.
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It must be noted that generative AI is not a new concept. In fact, it can be traced back to the 1960s, when Chatbots were first introduced.
But only after the introduction of Generative Adversarial Networks (GANs) did this type of AI really pick up.
What are Generative Adversarial Networks (GANs)?
Generative Adversarial Networks (GANs) are one of the most common forms of generative AI. A GAN consists of two neural networks: a generator and a discriminator.
The generator produces fresh outputs, while the discriminator assesses the outputs to decide whether or not they are realistic. Together, the two networks are trained to produce outputs that are convincing enough to deceive the discriminator while properly identifying outputs that are either fake or real.
Application of Generative AI
Numerous possible uses for generative AI exist, such as the production of new and original works of art, the creation of realistic synthetic data for machine learning models, the production of fresh and cutting-edge goods, and the construction of new and more effective algorithms.
For instance, generative AI can be applied to produce original works of art like music, paintings, and movies. This gives artists new ways to express themselves creatively and gives them the freedom to push the boundaries of what is practical.
Realistic synthetic data can also be produced using generative AI for machine learning models. This is especially helpful in industries like medicine where gathering real-world data may be challenging or impossible.
Researchers may train machine learning models to anticipate outcomes and recognise patterns by employing generative AI to generate synthetic data, leading to novel insights and advances.
Additionally, generative AI has the capacity to produce novel and cutting-edge goods. For instance, it can be used to create brand-new items like apparel and furniture or to create fresh, more effective algorithms.
Ethical Considerations of Generative AI
Just like any new technology, one needs to be mindful of using generative AI as it raises some important ethical and societal complications.
For instance, generating fraudulent images, films, or texts using generative AI could be used to disseminate false information and sway public opinion.
To overcome such issues, it is very important that there are some standards and laws that preserve generative AI’s benefits, but at the same time provide safeguards against its possible misuse.
If we want to use generative AI in the best possible way, governments, organizations, and individuals must play an informed part together.
Conclusion
AI is the present and the future. Generative AI is a big part of it as it has the potential to significantly impact each and every industry. What this piece of AI can do is endless, and we can only expect it to grow.
While there are a lot of benefits of it, one must be careful and mindful while using it to make sure that it is being used in a responsible way.
Whichever industry you may be from, it is important for you to understand how AI works. If you are looking to learn more about it, visit be10x today!
