The language of artificial intelligence is storming the technical world today with the emergence of terms that have become part of daily news, such as “LLM,” “AGI,” and “AI Agents,” which are concepts that define the digital future. “General Artificial Intelligence” is the ultimate goal for companies, as it seeks to produce systems that match the human mind in its intellectual tasks, while “Large Linguistic Models” (LLMs) represent the actual engine of famous tools such as ChatGPT and Gemini, by processing billions of data to produce natural texts.

In a remarkable development, “smart agents” are emerging as independent systems capable of carrying out complex tasks such as booking tickets and writing code without human intervention. These techniques rely on “sequential thinking” to solve problems step by step, and on “deep learning” and “neural networks” that mimic the human brain. Despite this progress, the phenomenon of “hallucinations,” where the system confidently provides false information, still poses a major challenge in sensitive sectors such as medicine and the media.

On a logistical level, the world is facing a crisis as a result of the huge demand for memory chips and processors (GPU) needed to train these models. Companies also resort to “fine-tuning” and “transfer learning” techniques to reduce costs and customize models, while “Tokens” remain the basic unit for text processing and cost calculations, as this technical language becomes a basic pillar of the economy and daily life.