In recent weeks we have heard a lot about Generative Artificial Intelligence with the launch of the GPT Chat , but what exactly does it consist of? What can it do and how can it add value to us? We tell you everything in this article, keep reading!

 

What is Generative Artificial Intelligence?

Software product development services such as Generative Artificial Intelligence is part of the machine learning category . It is a form of machine learning capable of creating unique and new content, from music and art to virtual worlds of all kinds.

But it has not only come to revolutionize the art world. In addition, it is capable of producing and generating text, images, voice, code and even videos.

In fact, and although it may seem so due to its hype, Generative Artificial Intelligence is not a new concept, the machine learning techniques behind Generative AI have evolved a lot in recent years.

How Generative Artificial Intelligence works

That said, a GPT (generative pre-trained transformer) is a type of logic learning machine model that uses deep learning to generate text similar to what humans create.

They are called "generative" because they can generate new text based on the input they receive, "pre-trained" because they are trained on a large corpus of text data before fine-tuning it for specific tasks, and "transformative" because they use a neural network architecture based in transformers to process input text and generate output text.

What is Generative Artificial Intelligence for?

Generative AI extends beyond typical NLP tasks , such as translating texts into different languages, summarizing content, or generating text. The latest release of OpenAI and ChatGPT was used by more than a million users in five days. Examples of Generative Artificial Intelligence today include:

New search engine architecturesExplain complex algorithmsCreate custom therapy botsHelp create applications from scratchExplain scientific conceptsWrite recipescollege essays

On the other hand, text and image programs like DALL-E or Stable Diffusion have the potential to change the way art, animation, games, movies, and architecture are represented. In this sense, experts believe that generative AI will help the creative process of artists and designers, since their existing tasks will be complemented by AI systems, accelerating ideation and creation.

But they not only bring enormous advances in the creative world. There are Generative Artificial Intelligence models with transformative capabilities in complex fields, such as computer engineering. For example, Microsoft's GitHub Copilot suggests code and helps custom software developer automatically complete their programming tasks. It is estimated that the system is capable of automatically completing around 40% of developers' code . Can you imagine how much this speeds up their daily lives?

What is needed to build a generative model?

Only a few heavyweights in the technology industry have been able to launch a generative AI model. For example, OpenAI, the company behind ChatGPT, the previous GPT models, and DALL-E, has billions in donor funding.

On the other hand, DeepMind, which is a subsidiary of Alphabet, the parent company of Google and Meta, has launched its Make-A-Video product based on generative AI. 

But you don't just need talent. It is estimated that GPT-3 was trained on around 45 terabytes of text data, at an estimated cost of several million dollars and, as we can imagine, this level of resources is not usually accessible to just any startup.

Uses of Generative AI in the company

Finally, although it seems like an entertainment tool, it also offers multiple opportunities for software development consulting firms. For example, generating credible writing in seconds and even allowing you to adapt it based on the feedback you are given is an incredibly useful option. This feature could benefit many industries, from IT organizations that can take advantage of instant code largely generated by AI to social media copy or marketing efforts.

In short, any organization that needs to produce written materials will find support in Generative AI. Additionally, it can also be used to create technical materials, such as higher resolution versions of medical images.