Deep Learning

This document introduces generative AI, its evolution from discriminative AI and the foundational models that enable creative content generation across text, images, video, and code.

This document traces the evolution of Generative AI, from early rule-based systems in the 1950s to the latest advancements in Large Language Models (LLMs), highlighting key milestones like GANs and Transformers.

This document provides an overview of deep learning, its key concepts applications in various fields, and the different types of models used. It also covers the training process and recent advancements in the field.

Explains the relationship between AI, machine learning, deep learning foundation models, generative AI, and large language models. Covers definitions, distinctions, and the evolution of foundational AI technologies.

Summarizes key concepts in machine learning, deep learning, generative AI cognitive computing, NLP, computer vision, IoT, cloud, and edge computing with real-world applications and model architectures.

This document introduces key terms and concepts in artificial intelligence including machine learning, deep learning, and neural networks. It explains AI categories and highlights how these technologies enable intelligent systems and real-world applications.