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This presentation is a comprehensive introductory guide to Artificial Intelligence (AI), designed to bridge the gap between complex technical concepts and real-world understanding. It explores the evolution of AI, from its historical milestones like the Turing Test in 1950 to the modern era of Generative AI and Large Language Models. The project is structured into several key pillars: Foundational Concepts: It defines AI as a field of computer science dedicated to creating systems capable of human-like tasks, such as learning, reasoning, and problem-solving. The Spectrum of Intelligence: It categorizes AI into three types: Narrow AI (ANI), which is the only type currently implemented; the theoretical General AI (AGI); and the hypothetical Super AI (ASI). Core Technologies: The presentation breaks down essential sub-fields including Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision (CV). Real-World Impact: It highlights how AI is transforming critical industries such as Healthcare (accelerated diagnosis), Transportation (autonomous vehicles), Business & Finance (fraud detection), and Education (personalized learning paths). The Technical Engine: Finally, it explains the fundamental process of AI, focusing on Data Acquisition, the role of Algorithms & Models, and the iterative nature of Machine Learning.

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