Artificial Intelligence is part of the category of machine learning, a branch of artificial intelligence that makes autonomous machine learning possible, capable of creating unique and new content.

It is important to clarify that it is not a new concept. Machine learning techniques have been evolving in recent years, so what is revolutionary today is its easy access and the various practical uses it provides. For example, the latest release of OpenAI and ChatGPT was used by more than a million users in five days.

ChatGPT (Chat Generative Pre-Trained Transformer) is a type of Logic Learning Machine (LLM) model that uses deep learning to generate texts similar to how we humans conceive them.
In simple words: train a computer to perform tasks like speech recognition, image identification, or making predictions.

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 number 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.

The scope of A.I. Generative extends beyond typical NLP (Neuro-linguistic programming) tasks. It is capable of producing and generating texts, images, voices, videos and even codes.
Although it seems like an entertainment tool, it also offers multiple opportunities to any organization that needs to produce written materials in seconds and even the possibility of adapting it according to the feedback given.
It could benefit many industries, from IT organizations that can take advantage of the instant code generated to copies for social networks or marketing actions.

In short, from writing recipes and college essays to explaining scientific concepts or complex algorithms, Generative AI is an incredibly useful option that is here to stay.