Creating an AI algorithm is a multi-step process. It starts with understanding the problem we want to solve. Then we collect data, train the model (that is, teach it to recognize patterns), test its effectiveness, and finally implement it in the target environment. After implementation, it is important to monitor the operation and possibly update the model.

It is a type of artificial intelligence that can create new content — texts, images, music or even code. Examples are ChatGPT (text), DALL·E or Midjourney (images). Generative AI is based on the so-called large language models (LLM) and neural networks.

AI accompanies us more often than you think — from movie recommendations on Netflix, to voice assistants, spam filters in emails, to systems in cars and banking.

We use the latest technologies of machine learning (machine learning), natural language processing (NLP), computer vision, and we integrate generative models such as GPT into business solutions.

Traditional programs work according to pre-established rules. AI can “learn” from data and draw conclusions on its own, allowing it to operate more flexibly and adaptively.

Machine learning is one of the main AI techniques. It involves “training” algorithms on big datasets — thanks to this, systems learn to recognize patterns and make the right decisions without programming each rule separately.

AI can be very secure if it is properly designed and monitored. Ethical approach, transparency of models and protection of user privacy are key.

AI-Factory creates and implements solutions based on artificial intelligence, helping companies automate processes, analyze data and increase efficiency.

Yes! We offer scalable solutions — from simple chatbots to advanced predictive systems. We adapt to the needs and capabilities of our customers, regardless of the size of the company.

L'intelligenza artificiale è un campo di scienza di computer che afferano con creare sistemi che possono “apprendimento” e fare decisioni basati su dati — samo come umani. AI can recognize images, process language, predict trends or support in data analysis.