Introduction In today's data-driven world, understanding text data is crucial across various domains, from data analysis to engineering and architecture. However, dealing with text data often requires converting it into numerical representations for machine learning models to process efficiently. This is where embedding vectors come into play, offering...
Introduction In this tutorial, we want to explain why Generative AI (GenAI) is possible now. In order to do this, we describe the key factors that are responsible for the rise of Generative AI. Factors The key factors that enable Generative AI are availability of large datasets, computational power, and...
Introduction In this tutorial, we want to explain how Generative Adversarial Neural Networks (GANs) work. In order to do this, we take a look at the functionality and the idea behind GANs. Principle Generative Adversarial Neural Networks (GANs) are a special type of Artificial Neural Networks. This kind of model...
Introduction In this tutorial, we want to explain Generative AI (GenAI). In order to do this, we describe both the terms Artificial Intelligence, Machine Learning, Deep Learning and Generative AI as well as the relationships between them. Overview First, we want to have a look to the relationships between Artificial...