Generative AI: How images and text are created with artificial intelligence
Generative artificial intelligence (AI) has burst into multiple sectors, from art and marketing to education and software development. Its ability to create images, text, music or code from simple written instructions is transforming the way we work, communicate and innovate. But how does this technology really work, and what can we expect from it in the coming years?

What is generative AI?
Generative AI is a branch of artificial intelligence that focuses on creating new and original content. Unlike other forms of AI that are limited to analyzing data or making decisions, generative models such as ChatGPT or DALL-E are capable of producing content that previously only humans could create.
How do you convert text to images?
The process begins with what is known as a prompt, which is nothing more than an instruction in natural language. For example: "a futuristic city at sunset with flying cars". This text is processed by a model trained with millions of images and descriptions, which learns to associate words with visual patterns.
The AI then uses techniques such as neural networks and diffusion models to "imagine" an image that matches the description. These models do not copy or search a database; they generate new visual compositions from scratch, pixel by pixel, based on the relationships they have learned between words and images.
And how does it generate texts?
In the case of text, models such as chatGPT work by predicting the next most likely word from the previous ones. Thanks to massive training with books, articles, dialogues and all kinds of text, the AI learns to construct coherent, structured and contextually relevant sentences.
You can ask him/her to write a professional email, a poem, a summary of a technical document or even the script of a video. The clearer and more specific the prompt, the better the result.
How will generative AI improve in the future?
While generative AI is already impressive, its evolution is just beginning. Here are some of the improvements we will see in the coming years:
- Greater accuracy and realism: The generated images and texts will be even more detailed, natural and difficult to distinguish from those created by humans.
- Advanced multimodality: Models will be able to understand and combine text, image, audio and video at the same time, facilitating complex tasks such as interactive content creation or automatic video editing.
- More creative control: Users will be able to more easily guide the results, with tools to fine-tune styles, tones or formats.
- Customized practical applications: From automated curricula to product designs or educational content tailored to each student.
Conclusion
Generative AI is ushering in a new era of assisted creativity. Knowing how it works and how to take advantage of it can make a big difference, both for professionals and companies. Far from replacing human talent, its greatest potential lies in empowering it, facilitating repetitive tasks and unlocking new forms of expression.
For this reason, at Qaleonwe are committed to technological progress in order to revolutionize the industry and care for the environment through sustainability. That is why we have developed SineQia® an innovative 360 platform that provides real-time tracking of key KPIs and metrics related to business sustainability.
With SineQia® you can make informed decisions based on accurate data, optimize your processes and meet sustainability goals efficiently and transparently.