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ZAPT - KNOWLEDGE BASE SearchCtrl + K * Introduction to AI * Understanding AI * Real-World Applications of AI * The Impact of AI * Keeping Humans in the Loop * The AI Adoption Challenge * Democratizing AI Access * Implementing AI in Your Business * Introduction to ZAPT Powered by GitBook INTRODUCTION TO AI WHAT IS AI? Artificial Intelligence (AI) refers to computer systems designed to perform tasks that usually require human intelligence. These tasks include seeing and understanding images, recognizing speech, making decisions, and translating languages. AI systems can learn from experience, adapt to new information, and perform tasks similar to humans. Understanding the basics of AI is crucial for businesses looking to leverage this game-changing technology. TRADITIONAL AI VS. GENERATIVE AI There's a fundamental distinction between traditional AI and the newer, more versatile Generative AI: TRADITIONAL AI: * Requires creating a specialized system for each task. * Tasks might include identifying objects in images, translating languages, or predicting stock prices. * It involves starting from scratch for each new application—gathering data, designing the AI's structure, and extensive training. * It is time-consuming and often requires expert knowledge. GENERATIVE AI: * Uses pre-built systems that can handle a wide variety of tasks right away. * Can perform diverse operations like writing articles, coding software, creating images, and analyzing data. * Doesn't need to be rebuilt for each new task. * Comes ready with broad knowledge and capabilities that can be applied flexibly. This difference makes Generative AI more versatile and accessible, adapting to various needs without the extensive setup required for traditional AI. THE POWER OF GENERATIVE AI Generative AI is like an AI model built with a broad intelligence that can tackle almost any task you throw at it. It's a versatile technology capable of understanding and generating human-like responses across a wide range of applications. Generative AI enables you to tackle virtually any AI use-case with a single, versatile model, eliminating the need to build and train separate models for each application as you would with traditional AI approaches. LEVERAGING GENERATIVE AI By using a Generative AI model as a universal AI engine, it's possible to focus on solving any AI use case you can think of, without worrying about building individual models for each task. NextUnderstanding AI Last updated 6 hours ago On this page * What is AI? * Traditional AI vs. Generative AI * Traditional AI: * Generative AI: * The Power of Generative AI * Leveraging Generative AI