Updated: Apr 16, 2021
Artificial intelligence (AI) continues to evolve in order to meet the great challenge of the twenty-first century: creating a General Artificial Intelligence (AGI) capable of learning intellectual tasks in the same way as humans do.
GPT-2 was upgraded to GPT-3, a language model focused on artificial intelligence and deep learning with cognitive capabilities, by the Californian company OpenAI in June 2020. It's a technology that's sparked a lot of buzzes, and it's been billed as the most important and useful advancement in AI in recent years.
Elon Musk, co-founder and director of Tesla and SpaceX, created OpenAI as a non-profit organization with the aim of researching and democratizing access to General Artificial Intelligence. It was founded as a non-profit organization. However, in 2020, it became a corporation and collaborated with Microsoft in order to achieve new breakthroughs, both in the area of language with GPT-3 models and in robotics and vision with Microsoft.
GPT-3 (Generative Pre-Training Transformer 3) is a deep learning-based autoregressive language model that generates texts that resemble human writing.
This API (Application Programming Interface) offers a general-purpose "text input and output" interface, allowing users to evaluate it, unlike most artificial intelligence systems that are developed for a specific use case. in virtually every English assignment This tool will, among other things, generate a text on any subject presented to it in the same way as a person can, program (in HTML code), and generate ideas.
“GPT-3 is living confirmation that the Natural Language Processing area is advancing more than ever by leaps and bounds,” says Nerea Luis, an artificial intelligence specialist and engineer at Singular.
One may create conversations with GPT-3, and the system's responses will be based on the context of the previous questions and answers.
It's worth noting that the tool produces text using algorithms that have already been trained and have all of the data they need to complete their mission. They obtained approximately 570 GB of text information collected by crawling the Internet (a publicly accessible dataset known as CommonCrawl) on time, as well as other text selected by OpenAI, including Wikipedia text.
“GPT-3 has aroused a lot of interest because it is one of the first systems to show the possibilities of general artificial intelligence because it completes with surprisingly reasonable results tasks that until now required a specially built system to solve that particular task. Furthermore, it does so from just a few examples, ”says César de Pablo, data scientist at BBVA Data & Analytics.
Text development in a variety of styles
GPT-3 would be able to create text for blogs, social media advertisements, scripts, and other applications. In this way, GPT-3 can turn your needs into a specific text with just a few basic guidelines. You may also choose the type of text you need, ranging from the most generic to the most strategic and artistic.
GPT-3 will allow you to write emails (among other things) by simply providing it with some instructions for what you want to say and communicate. For example, you can see how it works by visiting magicemail.io, a website where you can test the tool (there is a waiting list of around 6000 users). Magi email will be installed in our Gmail as a Google Chrome extension.
When an email arrives, all we have to do is press the tool to get a summary of what they want to say in the email.
Creation of landing pages
Simply tell GPT-3 how we want our landing page or website to look, and it will generate the code. Once you've sent us the HTML code, all we'll need to do is "copy and paste" to get the best results. The tool would greatly reduce the time it takes to create a website.
Chatbots can be much more reliable in this model, providing more accurate answers and creating a benefit of more personalized and efficient attention in the consumer.
Furthermore, GPT-3 could have far-reaching consequences for the potential development of software and applications.
Keep in mind that the GPT-3 model's current use is primarily restricted to the research community. GPT-3, on the other hand, seems to have the potential to produce something with a language structure in the near future, including answering questions, writing essays, summarizing texts, interpreting, taking notes, and even writing computer code.
As a result, GPT-3 is positioned as an artificial intelligence platform with significant future potential. And, once it's available to the public, its scope will undoubtedly be even greater.
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Source - Entrepreneur India