ARTIFICIAL INTELLIGENCE TOOLS: A PRACTICE REPORT FROM THE INTERNATIONAL CENTER FOR SOFTWARE TECHNOLOGY

The Digital Transformation 4.0, which brings opportunities for innovation, involves several enabling technologies, among which Artificial Intelligence (AI) stands out. In this context, this study aims to identify programming languages, as well as libraries and tools, focused on AI applications. Four programming languages for AI were highlighted: C#, R, MatLab, and Python. Subsequently, several Python-based AI libraries and tools were discussed, such as Numpy, Pandas, TensorFlow, PyTorch, Scikit-Learn, Keras, as well as Natural Language Processing (NLP) frameworks like LangChain, HuggingFace Transformers, NLTK, and SpaCy. Finally, the conclusion consolidates knowledge about programming languages, libraries, and AI tools into comparative charts with pros and cons, which organize the literature and can be used by professionals and researchers in the field.