Building Generative AI Services with FastAPI

With this comprehensive guide, Microsoft AI specialist Adrian Gonzalez Sanchez examines the integration and utilization of Azure OpenAI Service-using powerful generative AI models such as GPT-4 and GPT-4o-within the Microsoft Azure cloud computing platform.

**A New York Times Bestseller**'Co-Intelligence is the very best book I know about the ins, outs, and ethics of generative AI. Drop everything and read it cover to cover NOW' Angela DuckworthConsumer AI has arrived. And with it, inescapable upheaval as we grapple with what it means for our jobs, lives and the future of humanity.Cutting through the noise of AI evangelists and AI doom-mongers, Wharton professor Ethan Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In Co-Intelligence, he urges us to engage with AI as co-worker, co-teacher and coach. Wide ranging, hugely thought-provoking and optimistic, Co-Intelligence reveals the promise and power of this new era.

It is widely acknowledged that many healthcare, behavioral health, and social service organizations provide less-than-optimal services and that the challenge of improving services depends on successfu

As both the societies and the world in which we live face increasingly rapid and turbulent changes, the concept of resilience has become an active and important research area. Reflecting the very latest research, this book provides a critical review of the ways in which resilience of social-ecological systems, and the ecosystem services they provide, can be enhanced. With contributions from leaders in the field, the chapters are structured around seven key principles for building resilience: maintain diversity and redundancy; manage connectivity; manage slow variables and feedbacks; foster complex adaptive systems thinking; encourage learning; broaden participation; and promote polycentric governance. The authors assess the evidence in support of these principles, discussing their practical application and outlining further research needs. Intended for researchers, practitioners and graduate students, this is an ideal resource for anyone working in resilience science and for those in t

This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introducti

This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introducti

A new era of global banking and insurance is emerging, with leading banks eager to serve international markets. This book explores the issues that arise for banks in their strategic choices as they mo

揭示專業人士如何擺脫「臨時顧問」的角色，轉而建立長期且有價值的客戶關係。作者 Andrew Sobel 根據與多位企業高層的訪談，提出實務可行的策略，說明任何專業人士都能透過正確的態度與技巧，培養持久的信任與合作。他打破「業務高手（Rainmaker）」的傳統神話，主張穩定關係比短暫成功更能創造價值。書中內容具啟發性，適合顧問、業務與專業服務從業者閱讀。Professionals who work with clients or large accounts can create lifetime relationships based on these well-researched secrets. Based drawing from extensive interviews with client executives, Making Rain offers a series of provocative insights on how to shed the expert-for-hire label and develop long-term advisory relationships. Exploding the popular myth of the "Rainmaker," a dated and dysfunctional figure that clients no longer welcome, Andrew Sobel argues that any professional can learn to "make rain" on an ongoing basis with existing clients by developing a special set of skills, attitudes, and strategies. These innovative tips and techniques from a recognized leader in the field of professional services will enable any consultant, salesperson, or service professional to create enduring client loyalty.

「這是關於建構 AI 代理人系統最棒的單冊入門指南――你可以去讀數百篇論文，或是只讀這一本書。」 ――Arun Rao，Meta GenAI前團隊成員，UCLA 兼任教授 生成式 AI 已經徹底改變了組織解決問題的方式，加速了從概念、原型到解決方案的旅程。隨著模型變得越來越強大，我們見證了一種新的設計模式出現：AI 代理人。透過將工具、知識、記憶與學習，跟先進的基礎模型結合在一起，我們現在可以將多次模型推論串接起來，藉此解決定義模糊且困難的問題。從編寫代理人程式碼、研究代理人到分析代理人等等，我們已經看到代理人加速了團隊與組織的運作。雖然這些代理人提升了效率，但它們通常需要廣泛的規劃、草擬與修改才能完成複雜的任務，而且對許多組織來說，部署它們仍然是一項挑戰，尤其是在技術與研究快速發展的當下。 在這個錯綜複雜且快速演進的領域中，本書是你不可或缺的指南。作者 Michael Albada 提供了一套結合實務與研究的方法，用於設計與實作單一代理人及多代理人系統。本書簡化了其中的複雜性，並提供所需的工具，讓你能更高效將概念轉化為實際解決方案。 • 了解由基礎模型驅動的 AI 代理人所具備的獨特功能 • 探索 AI 代理人的核心元件與設計原則 • 探討設計上的權衡取捨，並實作有效的多代理人系統 • 設計並部署量身打造的 AI 解決方案，促進你所在領域的效率與創新

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