Generative AI Hands-On: A Practical Guide to Model Development and Real-World Applications

Vemula, Anand

  • 出版商: Independently Published
  • 出版日期: 2024-07-23
  • 售價: $590
  • 貴賓價: 9.5$561
  • 語言: 英文
  • 頁數: 100
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798333906717
  • ISBN-13: 9798333906717
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

商品描述

Generative AI Hands-On: A Practical Guide to Model Development and Real-World Applications is a hands-on resource designed to equip readers with the skills and knowledge needed to build and apply generative AI models effectively. This comprehensive guide covers the entire process, from foundational concepts to advanced techniques, offering practical insights into real-world applications.

The book begins with an introduction to generative AI, explaining core concepts and its evolution. It outlines how generative models differ from other AI approaches and explores their diverse applications in fields such as text generation, image synthesis, and audio creation. Readers will gain a solid understanding of how these models work and their potential uses.

Part II focuses on the technical foundation of generative models, including machine learning basics, neural networks, and deep learning techniques. It delves into key types of generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and autoregressive models, providing a clear explanation of their functionalities and differences.

The practical aspect of the book is emphasized in Part III, which guides readers through setting up their environment, including software, tools, and libraries. It covers data preparation, model implementation, and fine-tuning, allowing readers to create their own generative models.

Part IV showcases practical applications, offering hands-on projects for text, image, and audio generation. Case studies highlight the impact of generative AI in various domains, demonstrating its versatility and creativity.

The final part addresses ethical considerations and future trends in generative AI, covering topics such as bias, fairness, and emerging technologies. This ensures readers are prepared to navigate the evolving landscape responsibly.

"Generative AI Hands-On" is an essential guide for anyone looking to harness the power of generative AI for practical and innovative applications.

商品描述(中文翻譯)

《生成式 AI 實作:模型開發與實際應用的實用指南》是一本實作資源,旨在幫助讀者掌握有效構建和應用生成式 AI 模型所需的技能和知識。這本全面的指南涵蓋了從基礎概念到進階技術的整個過程,提供了對實際應用的實用見解。

本書首先介紹生成式 AI,解釋其核心概念及演變過程。它概述了生成模型與其他 AI 方法的不同之處,並探討了其在文本生成、圖像合成和音頻創作等領域的多樣應用。讀者將深入了解這些模型的運作方式及其潛在用途。

第二部分專注於生成模型的技術基礎,包括機器學習基礎、神經網絡和深度學習技術。它深入探討了關鍵類型的生成模型,如變分自編碼器(Variational Autoencoders, VAEs)、生成對抗網絡(Generative Adversarial Networks, GANs)和自回歸模型,清楚解釋它們的功能和差異。

第三部分強調了本書的實用性,指導讀者設置環境,包括軟體、工具和庫。它涵蓋了數據準備、模型實現和微調,讓讀者能夠創建自己的生成模型。

第四部分展示了實際應用,提供文本、圖像和音頻生成的實作專案。案例研究突顯了生成式 AI 在各個領域的影響,展示了其多樣性和創造力。

最後一部分探討了生成式 AI 的倫理考量和未來趨勢,涵蓋了偏見、公平性和新興技術等主題。這確保讀者能夠負責任地應對不斷演變的環境。

《生成式 AI 實作》是任何希望利用生成式 AI 進行實用和創新應用的人的必備指南。