AI Tutorials

Generative AI allows you to create text, images, video, audio, code and other content from an instruction, a reference image, a document or different types of data. These systems do not function as a database that simply copies a stored response. They use trained models to represent patterns and generate a probable output […]

Artificial intelligence can be classified in different ways. ANI, AGI, and ASI describe capacity levels, but they do not explain on their own how a system learns, what kind of result it produces, or how much it can act without human intervention. An AI can also be predictive, generative, conversational, rule-based, trained through supervised learning, or function

Artificial intelligence is used to analyze information, make predictions, recommend options, detect anomalies, generate content, and automate parts of a process. These capabilities can be applied in education, health, business, marketing, e-commerce, programming, industry, transportation, agriculture, and cybersecurity. However, using AI does not automatically guarantee better results. A useful application should start from a

Artificial intelligence is not a single tool or machine that thinks exactly like a person. It is a technological field that brings together different methods to build systems capable of processing information and producing results such as predictions, classifications, recommendations, content or decisions. Some systems work using rules defined by specialists. Others use Machine Learning to

Artificial intelligence is already part of numerous tools and services that we use daily. Recommendation systems, conversational assistants, image recognition, automatic translators, and applications capable of creating text, video, or images are some examples. However, AI is not a single technology nor does it always work from the