GPT-3 is here, and people that are dealing with Artificial Intelligence are super hyped about it. If your work expertise area involves Content Marketing and Search Engine Optimisation, or even marketing in general, some say that you should be, too.
The thrill of new technology is justified, and the scope of things that AI can do for you grows every day. This article will explain to you just what GPT-3 is, what it does and what it cannot do, and why it is important.
What is GPT-3?
GPT-3 was created by OpenAI, an artificial intelligence research lab. GPT-3 stands for Generative Pre-trained Transformer 3 (the number 3 means this is the third generation).
It generates text using pre-trained algorithms – they’ve already been fed all of the data they need to carry out their task. The source of all their knowledge is a publicly available dataset known as CommonCrawl and other relevant authorities, such as Wikipedia’s entirety. All in all, GPT-3 is familiar with around 570gb of text information.
What can it do?
In more technical terms, GPT-3 has been described as the largest artificial neural network ever created. GPT-3 can create anything that has a language structure – which means it can answer questions, write essays, summarize long texts, translate languages, take memos, and even create computer code.
At its core, GPT-3 is a language prediction model. This means that it relies on one piece of text that serves as the input and tries (and often succeeds) to predict the most useful and natural selection of text that would follow the information. It has an impressive success rate where it gets the tone of the follow-up text right after just one try 88 percent of the time.
How does GPT-3 work?
When dealing with a piece of text, GPT-3 uses semantic analysis. To put it in more familiar terms, it doesn’t focus on a single word’s meaning but pays attention to the context of the words around it and how it influences the meaning of the sentence as a whole. It then proceeds to analyze the entire paragraph, and so on.
It also relies on what is called unsupervised machine learning. Meaning, the software is studying the usage of words and sentences, then taking them apart and attempting to rebuild them by itself. It will make many attempts to create a proper sentence and check every one against its database until it gets it right.
AI and content marketing
When it comes to any form of AI and its comparison to a human counterpart, the scary truth is that a well-trained AI can be much more productive than any human being could ever hope to be. The same is true for GPT-3 as well.
A single person or an entire team of writers cannot compare to the quantity of text that AI can put out. Accurate synthetic content that people find difficult to distinguish from the human-written text could point to future automation processes in the realm of content marketing.
GPT-3 and users’ experience
When it comes to different ways sites interact with their customer base, GPT-3 can also be extremely useful.
It could be particularly useful for everyday tasks such as Google text ad generation or social media community management responses. As the number of people who shop and do their business online grows, multiple bots will be needed to chat with the visitors and answer their questions and meet their demands. This is yet another area where AI can be used to its full potential.
AI and SEO
There are several domains of day-to-day Search Engine Optimization areas where GPT-3 can be used to its full potential. These include product descriptions, category and facet page overviews, titles and meta information, and more.
When using artificial intelligence to perform tasks like these, business owners and SEO experts have an opportunity to test out many different combinations of text and quickly see what works and what doesn’t.
It can also provide a copy for those important pages to search engines, even if the users don’t see it or don’t care for it. These include:
- Footer copy on product and product category pages
- Meta descriptions for old content
- Alt text and similar missing SEO elements
- Unique product copy for companies with thousands of products
Some problems with GPT-3
First of all, while all the things listed above seem good, even frighteningly so, you can rest assured that AI won’t take human jobs away…Just yet.
The CEO of OpenAI himself, Sam Altman, has said, “The GPT-3 hype is too much. AI is going to change the world, but GPT-3 is just an early glimpse.”
For starters, it requires a tremendous amount of computing power to get it going, which makes GPT-3 too expensive for all small and medium enterprises to even consider. The second thing to consider is that the software is still struggling with creating longer pieces. In fact, the longer the content it has to write, the more likely AI is to produce… Gibberish.
Of course, both these problems can, and most likely will be solved in the not so distant future, as the computing power continues to drop in price and an increase in the volume of data processed helps AI get through more demanding tasks.
There is no doubt that AI is the next big thing when it comes to content creation and customer interaction online. GPT-3 can clearly demonstrate the upcoming trends.
With its ability to quickly adapt and learn using semantic analytics and adaptive machine learning, it has the potential to eventually replace humans when it comes to content creation and search engine optimization.
The future is bright for AI implementation in these websites’ activity, but the present doesn’t look too bad. Currently, GPT-3 can create content that enriches the user experience and improves the SEO ranking of the sites it deals with. It’s safe to assume that with the advancements in technology and its learning algorithms, it will only get better and more efficient in reducing the workload people have to deal with on a day to day basis.
Michael has been working in marketing for almost a decade and has worked with a huge range of clients, which has made him knowledgeable on many different subjects. He has recently rediscovered a passion for writing and hopes to make it a daily habit. You can read more of Michael’s work at Qeedle.