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Imagine a machine that can compose a symphony, paint a masterpiece, or write a story that feels profoundly human. This is the magic of Generative AI—a branch of artificial intelligence designed not just to understand and process data but to create something entirely new and unique. From producing lifelike images to crafting text indistinguishable from human writing, Generative AI is redefining creativity and innovation. But how do these systems work? The secret lies in the foundations of neural networks—the building blocks that power these remarkable models. In this chapter, we’ll embark on a journey to uncover the core concepts of Generative AI, starting with an exploration of neural networks and gradually building up to the sophisticated algorithms that enable machines to generate, innovate, and inspire.

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Building Blocks of Generative AI: Neural Networks and Deep Architectures

  • 章节

  • 发表日期：

    2025年

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  • Akansha Singh,
  • Krishna Kant Singh

摘要

Imagine a machine that can compose a symphony, paint a masterpiece, or write a story that feels profoundly human. This is the magic of Generative AI—a branch of artificial intelligence designed not just to understand and process data but to create something entirely new and unique. From producing lifelike images to crafting text indistinguishable from human writing, Generative AI is redefining creativity and innovation. But how do these systems work? The secret lies in the foundations of neural networks—the building blocks that power these remarkable models. In this chapter, we’ll embark on a journey to uncover the core concepts of Generative AI, starting with an exploration of neural networks and gradually building up to the sophisticated algorithms that enable machines to generate, innovate, and inspire.