Usefulness and Drawbacks of GPT-3

GPT-3 is the product that was released after years of hard work. Experts have been scratching their heads in their Artificial Intelligence workrooms and labs. However, many researchers and tech savvy individuals have a wavering opinion on this technology. Some have been emphasizing that it is very impressive and will be a powerful technology in the future while others assert that it is very misleading. So, let's have a detailed discussion and learn more about this new chatbot.

What is GPT-3?

GPT-3, also referred to as the third generation Generative Pre trained Transformer, is the latest version of this model that is trained in advance to perform a wide range of natural language tasks. It is a neural network backed by AI technology that generates any kind of human text by using internet data and algorithms. Having more than 175 billion parameters it has surpassed and knocked out all the previous versions and around 300 applications are now using this model.

Usefulness of GPT-3

It’s a huge challenge for machines to produce a vast amount of content that is realistic and qualitative, though it requires very less input text. But GPT-3 produces text or data that is understandable for example blog posts, essays, articles, poetry and prose, news reports, marketing or advertising posts and everything that comes under creative writing. It can even imitate and adopt the style of prolific writers from the past. In terms of entertainment, GPT-3 has been serving the gaming industry by creating visuals, images, graphics, and chat dialogues etc. In marketing, it provides better insights to companies regarding their customers’ preferences, needs or wants through Viable. This startup interprets and recognizes the feelings, emotions and themes behind surveys, reviews and live chat logs and gives a quick crux and summary based on customers’ feedback and experiences. It can also translate languages, answer trivia questions, create memos etc. 

Drawbacks of GPT-3

Though OpenAl developed this updated version of GPT, but it has sparked controversies among the engineers and experts who argue that though this model is remarkable and fast but has its shortcomings too. The language produced by this model promotes biases, hate and disinformation (spreads fake news in the form of editorial or opinion articles) as it learns and inherits everything from data available on the internet. Developers also say that this system has been encouraging racism and prejudiced approach (for example the machine adopts human characteristics such as portraying Muslims as Terrorist or vilifying Black people).

There are also exceptions in which GPT-3 does not befit i.e. high stake cases because it can mislead people where it’s a matter of life and death. For example the machine might generate automated content that highlights benefits of detrimental drugs. The computer code that this model writes needs adjustments and modification from human engineers’ and programmers. Apart from that, processing the vast amount of information from the internet is not easy, it requires specialized forms of computers that are expensive to operate. The output system also needs improvement so developers are constantly beavering away to come up with a flawless and advanced version of GPT-3 with no drawbacks.