Transformers: Foundations, Operation, and Everyday Applications

Abstract

Transformer models have revolutionized the field of artificial intelligence by introducing an attention mechanism capable of processing natural language with unprecedented efficiency and accuracy. This article presents, in an accessible and well-founded manner, what Transformers are, how they work intuitively, and what their main everyday applications are, covering sentiment analysis, machine translation, question answering, text summarization, and zero-shot classification. Through experiments with pre-trained models from the Hugging Face library, it is demonstrated that Transformers achieve superior performance on diverse linguistic tasks, with accuracies ranging from 85% to 93% on the evaluated benchmarks. The results highlight the direct impact of this technology on sectors such as healthcare, education, finance, and law, consolidating Transformers as fundamental infrastructure of modern artificial intelligence.

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