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相關主題
商品描述
Generative AI tools like ChatGPT are amazing--but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively.
Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you'll learn:
- How large language models (LLMs) work
- How to integrate generative AI into your personal and professional workflows
- Balancing innovation and responsibility
- The social, legal, and policy landscape around generative AI
- Societal impacts of generative AI
- Where AI is going
Anyone who uses ChatGPT for even a few minutes can tell that it's truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you'll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren't) capable of, and how you can use them to your greatest advantage.
Foreword by Sahar Massachi.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the technology
Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you'll need to use it safely and effectively.
About the book
Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You'll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you'll practice strategies for getting accurate responses and even understand how to handle misuse and security threats.
What's inside
- How large language models work
- Integrate Generative AI into your daily work
- Balance innovation and responsibility
About the reader
For anyone interested in Generative AI. No technical experience required.
About the author
Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models.
The technical editor on this book was Maris Sekar.
Table of Contents
1 Large language models: The power of AI Evolution of natural language processing
2 Training large language models
3 Data privacy and safety with LLMs
4 The evolution of created content
5 Misuse and adversarial attacks
6 Accelerating productivity: Machine-augmented work
7 Making social connections with chatbots
8 What's next for AI and LLMs
9 Broadening the horizon: Exploratory topics in AI
商品描述(中文翻譯)
**生成式人工智慧工具如 ChatGPT 非常驚人——但它們的使用將如何影響我們的社會？本書介紹了這項改變世界的技術以及您需要安全有效使用生成式人工智慧的策略。**
《生成式人工智慧入門》以易於理解的語言向您解釋生成式人工智慧的運作原理和原因。在這本易讀的入門書中，您將學到：
- 大型語言模型（LLMs）如何運作
- 如何將生成式人工智慧整合到您的個人和專業工作流程中
- 創新與責任之間的平衡
- 生成式人工智慧的社會、法律和政策環境
- 生成式人工智慧對社會的影響
- 人工智慧的未來走向
任何使用 ChatGPT 即使幾分鐘的人都能感受到它與其他聊天機器人或問答工具的真正不同。《生成式人工智慧入門》將引導您從第一次驚豔的互動開始，了解這些強大工具如何改變您的個人和專業生活。在書中，您將獲得關於生成式人工智慧基本原理的實用指導，幫助您理解這些模型的能力（以及無法做到的事情），以及如何最大限度地利用它們。
前言由 Sahar Massachi 撰寫。
購買印刷版書籍可獲得 Manning Publications 提供的免費 PDF、Kindle 和 ePub 格式電子書。
**關於這項技術**
生成式人工智慧工具如 ChatGPT、Bing 和 Bard 永久改變了我們的工作、學習和溝通方式。這本令人愉快的書以簡單、無行話的英語清楚地展示了生成式人工智慧的運作方式，以及您需要的見解，以安全有效地使用它。
**關於本書**
《生成式人工智慧入門》引導您了解生成式人工智慧技術的好處、風險和限制。您將發現人工智慧模型如何學習和思考，探索創建文本和圖形的最佳實踐，並考慮人工智慧對社會、經濟和法律的影響。在此過程中，您將練習獲得準確回應的策略，甚至了解如何處理濫用和安全威脅。
**內容概覽**
- 大型語言模型如何運作
- 將生成式人工智慧整合到您的日常工作中
- 平衡創新與責任
**關於讀者**
適合任何對生成式人工智慧感興趣的人。無需技術經驗。
**關於作者**
**Numa Dhamani** 是一位自然語言處理專家，專注於技術與社會的交集。**Maggie Engler** 是一位工程師和研究員，目前專注於大型語言模型的安全性。
本書的技術編輯是 **Maris Sekar**。
**目錄**
1. 大型語言模型：人工智慧的力量，自然語言處理的演變
2. 訓練大型語言模型
3. 與 LLMs 的數據隱私和安全
4. 創建內容的演變
5. 濫用和對抗性攻擊
6. 加速生產力：機器增強的工作
7. 與聊天機器人建立社交連結
8. 人工智慧和 LLMs 的未來走向
9. 擴展視野：人工智慧的探索主題
作者簡介
Numa Dhamani is a natural language processing expert with domain expertise in information warfare, security, and privacy. She has developed machine learning systems for Fortune 500 companies and social media platforms, as well as for startups and nonprofits. Numa has advised companies and organizations, served as the Principal Investigator on the United States Department of Defense's research programs, and contributed to multiple international peer-reviewed journals.
Maggie Engler is an engineer and researcher currently working on safety for large language models. She focuses on applying data science and machine learning to abuses in the online ecosystem, and is a domain expert in cybersecurity and trust and safety. Maggie is also an adjunct instructor at the University of Texas at Austin School of Information.
作者簡介(中文翻譯)
Numa Dhamani 是一位自然語言處理專家，擁有資訊戰、安防和隱私領域的專業知識。她為《財富》500 強公司和社交媒體平台，以及初創公司和非營利組織開發了機器學習系統。Numa 曾為公司和組織提供建議，擔任美國國防部研究計劃的首席研究員，並為多本國際同行評審期刊作出貢獻。
Maggie Engler 是一位工程師和研究人員，目前專注於大型語言模型的安全性。她專注於將數據科學和機器學習應用於在線生態系統中的濫用行為，並在網絡安全及信任與安全領域擁有專業知識。Maggie 也是德克薩斯大學奧斯汀分校資訊學院的兼任講師。
