INTELIGÊNCIAS ARTIFICIAIS GENERATIVAS COM PYTHON: FUNDAMENTOS, APRENDIZADO DE MÁQUINA, REDES NEURAIS CLÁSSICAS E PROFUNDAS, TRANSFORMERS E ENGENHARIA DE PROMPT PARA GERAÇÃO DE IMAGENS

• DOI: https://doi.org/10.22533/at.ed.4972527016

• Palavras-chave: Redes Neurais Artificiais, Machine Learning, Arquiteturas e Topologias de Redes Neurais

• Keywords: Artificial Neural Networks, Machine Learning, Neural Network Architectures and Topologies

• Abstract: The text provides an overview of the field of generative artificial intelligence, emphasizing the use of Python and the evolution of methods and architectures. It highlights fundamental machine learning concepts, moving from classical neural network approaches to more complex deep learning models. It underscores the role of Transformers—originally geared towards language—in visual tasks and the importance of “prompt engineering” to guide and control the quality and style of generated content. Additionally, it references practical examples, Python code, case studies, and concrete applications in image generation. In conclusion, the article suggests avenues for future research and further topic exploration.