June 2020 saw the announcement from Elon Musk’s non-profit company, OpenAI, stating that GPT-2 was upgrading to GPT-3. GPT-3 is a language model built upon artificial intelligence, deep learning, and cognitive capabilities. The 21st century continues to move closer towards artificial intelligence that performs and learns intricate tasks just like any human. And at the forefront is GPT-3, which is considered to be the most impactful advancement in AI technology in years.
GPT-3 stands for Generative Pre-Training Transformer 3. This model utilizes deep learning to simulate human writing through texts. A significant differentiator for GPT-3 is that it has a general purpose rather than an Application Programming Interface (API) designed for a particular use case. The model’s interface also has both input and output functions that allow users to test the API.
GPT-3 is capable of generating text based on how any human would, no matter the subject, in a coherent manner. Let’s say you’re finishing up writing a piece and notice a section may need more information or detail. Instead of digging through even more research, you can get a head start by utilizing GPT-3 to complete the text based on the context of what you’ve already written within the piece.
So now you might be wondering what database is the information coming from as the API jots down thoughts for you. Well, the text is generated using trained algorithms. These algorithms help GPT-3 carry out its task by grabbing data from almost 600 GB of text from sources like OpenAI, Wikipedia, and public datasets available online.
The content use cases for GPT-3 are endless and can improve the efficiency of any small business or large enterprise. Possible applications of the API range from any part of the marketing and sales mix, from e-mails to social media.
Microsoft Outlook currently has a machine learning language processer that occasionally guesses what a user may say in an e-mail, given their history or general suggestions based on tone. GPT-3 can take this application a step further by allowing the user to create their guidelines so the tool can compose entire e-mails based on some rule-setting.
Sometimes social media strategies include posting the same content but with adjusted messaging to avoid repetitiveness. Cross-posting can become challenging to navigate as different platforms have different tones, strengths, and weaknesses for audience engagement. GPT-3 can help remove the repeated process of developing new messaging for the same piece of content.
Whether it’s to save time on a half-completed piece or to replace the costs associated with hiring content writers eventually, GPT-3 can act as a jump starter or closer for any piece of website content. And you can also choose your approach for GPT-3 generated content as the text can be geared towards generic, strategic, or creative messaging.
The ability to streamline the web development process is also a considerable upside to GPT-3’s potential for businesses. Much like giving tone suggestions for content or e-mails, users can suggest what a landing page or website page can look like.
GPT-3 will also make coding more manageable and more accessible. On the one hand, this is great for startups looking to upgrade their website quickly; however, this also means potential competitors to your business can also utilize this new technology to develop websites. Not to mention, smaller companies will need to apply for access to the API. At the same time, the usual tech giants have unique access.
The possibilities are endless with GPT-3. Startups already have used the API to create customer feedback analyzers, web search products, and dialogue for VR experiences. Most recently, over a few hundred applications use GPT-3, and roughly 4.5 billion words are generated per day for these projects.
It’s key to note that even OpenAI’s chief technology officer, Greg Brockman, has said their developer community for GPT-3 have very little or no background in programming, AI, or computers: “It’s almost this new interface for working with computers.”
So, GPT-3 is making coding more efficient and viable, though also driving future competition.
Large-scale natural-language algorithms like GPT-3 will bring about lower costs and more accessibility. From e-mails to websites to coding, GPT-3 has a plethora of use cases for any-sized business. This advancement in API can tap into a new generation of programmers and creators who can bring new ideas to machine learning.
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