The first features of GPT-3 were text-based. To use the language model, it was enough for the user to start writing a paragraph, and the system itself was in charge of completing the rest of the text in a coherent way. These qualities gave him —and continue to give him to this day—immense achievements, since he is equally capable of generating text for websites, ads on social networks, scripts, writing emails, creating Landing Pages or design intelligent, precise chatbots with accurate responses.
But then came the highest and most surprising technological leap, since a few months ago GPT-3 also became capable of speaking. To achieve this, OpenAI created ChatGPT, a new service on its website that allows natural conversations in several languages with the language model. Thus, GPT-3 has the ability to explain a wide variety of concepts in great detail, and can also do so with specific styles and expressions—for example, imitating the way of speaking of an adult, a child, or the of someone who lived several centuries ago—as well as specific formats.
The arrival of GPT-3 has been, without a doubt, a total discovery for the world of artificial intelligence, as it is a language model with which you can create applications and the same system can generate code for you, a real beauty! ! Some examples of apps that can be created with GPT-3 are:
– Code to generate bots in the stock market.
– Translator.
– Generation of content for: articles, books, video script, poems, songs.
– Personalized assistance chatbots.
– Code for generating APIs.
And another of the enormous advantages is that, in the AI era, you no longer need to be a programming expert to be able to generate technology for commercial use, you just have to know the tools and know how to apply them.
But we well know that technology is always moving forward, and also that innovation brings more innovation. A sample of it is lensa an app that was developed using stable diffusion ; a machine learning model created by Stability AI and quite similar to GPT-3.
