Surprise! Generative artificial intelligence is already closer to you than you think, and you may not even realize it! Let’s explore what it is and how the technology behind our amazing tool works.
Picture this: you are faced with a platform that answers absolutely any question. No, I am not describing that know-it-all friend of yours. I am talking about Ionyx, an AI-based language model that creates new content from small commands or questions, like a Google-style super guru. (No, I would not quote ChatGPT)
But is Ionyx the only example of generative AI dominating our minds and hearts? Of course not! We also have image makers and audio-to-text transcribers on our platform that promise to revolutionize the world in unimaginable ways. In this exciting and informative debate we will discuss the presence of this disruptive technology through the generative model.
So what is this so-called artificial intelligence?
Well, in short, it is the ability of a technology to mimic human intelligence using training and logic. This allows AI to automate tasks and act autonomously – just imagine self-driving cars, chatbots, and manufacturing robots! I should mention that AI is divided into subfields, one of which is (yes, you guessed it!) the generative model.
What is generative AI?
Generative AI is a specific category of artificial intelligence that learns from pre-existing content to magically generate new parts that are realistic, but are not mere copies. Imagine this: the technology is capable of creating music, speeches, images, videos, and more.
The ability to create content that doesn’t exist in the real world makes generative AI a real game changer, especially for areas like design and marketing. Some possible applications include:
- Customized content for advertising campaigns
- Text summaries
- Programming codes
- Images or illustrations
- Branding materials
The sales sector should also undergo transformations thanks to this technology. “With the resources of generative AI, the sales team will be able to reinvent themselves quickly and improve scripts to be more assertive, suggests Gustavo Venancio, Co-founder of AGX.
However, it is worth remembering that generative AI is not limited to generating images or text. By 2025, Gartner predicts that more than 30% of new drugs and materials will be discovered using generative AI techniques. Amazing, isn’t it?
How Generative AI works
Generative AI models not only label data, but also create things from scratch – like images of flying cars or alien landscapes. When using a generative AI-based program, the user inputs a command (such as “create an image of an ice cream pizza”) and the AI, like a machine fairy, turns the wish into reality, generating the requested piece – be it an image, text, or design.
And how do humans enter into this story? The last essential step is human intervention to refine and polish the material produced by the AI. After all, it is we who add that final touch, the spice that makes the result perfect. Isn’t that great?
Generative Text AI
We have the GPT (Generative Pre-trained Transformer), which is the API we use in Ionyx, the “treasure chest” of the AI-processed word world. In constant evolution, this model has currently reached its fourth version, called GPT-4. To give you an idea of the magnitude of GPT-4, it has been trained with a colossal set of billions of parameters! Think that the previous GPT-3 was trained with 175 billion parameters, imagine this new one! Talk about overachievement!
This technological gem is capable of performing such feats as text translation, essay drafts, and even article summaries in the blink of an eye.
Generative Image AI
If GPT is king of the mountain, image generators like DALL-E 2 are the titans of the illustration industry. Powered by text commands, they deliver exquisite, high-resolution images as if they came off the drawing board of a talented illustrator.
However, it would be unfair to talk about the “stars” of generative AI without mentioning the learning techniques that made it all happen. Want to know how this magic happens? Well, the answer lies in deep learning and neural networks, interconnected systems that function like human neurons and improve over time.
In short, generative AI is closer to you than you think, and its applications go far beyond what we are showing here today. Who knows, in a few years you may be listening to your music, created by generative AI, while driving a car designed by the same tool that today brings you amazing text and images.
And remember that even in the machine-dominated world, there will always be room for that unmatched human spice. So, enjoy generative AI with a pinch of wisdom and responsibility.