Scaling Enterprise Solutions with Large Language Models: Comprehensive End-To-End Generative AI Solutions for Production-Grade Enterprise Solutions
暫譯: 使用大型語言模型擴展企業解決方案:針對生產級企業解決方案的全面端到端生成式AI解決方案

Ganguly, Arindam

  • 出版商: Apress
  • 出版日期: 2025-05-21
  • 售價: $1,850
  • 貴賓價: 9.5$1,758
  • 語言: 英文
  • 頁數: 445
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868811531
  • ISBN-13: 9798868811531
  • 相關分類: LangChain人工智慧
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions.

By leveraging Big Data engineering and popular data cataloguing tools, you'll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You'll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.

This enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. Scaling Enterprise Solutions with Large Language Models will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business.

What You Will Learn

  • Examine the various phases of an AI Enterprise Applications implementation.
  • Turn from AI engineer or Data Science to an Intelligent Enterprise Architect.
  • Explore the seamless integration of AI in Big Data Pipelines.
  • Manage pivotal elements surrounding model development, ensuring a comprehensive understanding of the complete application lifecycle.
  • Plan and implement end-to-end large-scale enterprise AI applications with confidence.

Who This Book Is For

Enterprise Architects, Technical Architects, Project Managers and Senior Developers.

商品描述(中文翻譯)

人工智慧 (AI) 是當今應用程式的基石,推動該領域朝向人工通用智慧 (AGI) 發展。儘管有這些進展,將這些突破整合到大規模生產級企業應用程式中仍然面臨重大挑戰。本書針對企業解決方案中大型語言模型的相關障礙進行探討。

透過利用大數據工程和流行的數據目錄工具,您將看到如何將挑戰轉化為機會,強調在不同領域中多個 AI 模型的數據重用。您將通過使用 LangChain 和 LLamaIndex 等工具,深入了解大型語言模型的行為,並智能地對龐大的數據集進行分段。實用考量是重中之重,指導您有效的 AI 治理和數據安全,特別是在銀行等數據敏感行業中。

這本以企業為中心的書籍採取務實的方法,確保大型語言模型與更廣泛的企業目標保持一致。從數據收集到部署,它強調使用低代碼 AI 工作流程工具以提高效率。針對處理大量數據的挑戰,本書提供了構建針對生成式 AI 應用的穩健大數據管道的見解。《使用大型語言模型擴展企業解決方案》將引導您了解生成式 AI 應用的生命周期,並提供實用知識,以便為您的業務部署高效的生成式 AI 解決方案。

您將學到的內容:
- 檢視 AI 企業應用實施的各個階段。
- 從 AI 工程師或數據科學家轉型為智能企業架構師。
- 探索 AI 在大數據管道中的無縫整合。
- 管理模型開發周圍的關鍵要素,確保對完整應用生命周期的全面理解。
- 自信地規劃和實施端到端的大規模企業 AI 應用。

本書的讀者對象:
企業架構師、技術架構師、專案經理和資深開發人員。

作者簡介

Arindam Ganguly is an experienced Data Scientist in one of the leading Multi-National Software Service Firm where he is responsible for developing and designing intelligent solutions leveraging his expertise in Artificial Intelligence and Data Analytics. He has over 8 years of experience delivering enterprise products and applications and has proven skill sets in developing and managing a number of software products with various technical stacks.

Arindam also is well-versed in developing automation and hyper-automation solutions leveraging automated workflow engines and integrating them with AI. Additionally, he is the author of Build and Deploy Machine Learning Solutions using IBM Watson, which teaches how to build artificial intelligent applications using the popular IBM Watson toolkit.

作者簡介(中文翻譯)

Arindam Ganguly 是一家領先的跨國軟體服務公司的資深資料科學家,負責開發和設計智能解決方案,充分利用他在人工智慧和資料分析方面的專業知識。他擁有超過 8 年的經驗,交付企業產品和應用程式,並在開發和管理多個具有不同技術堆疊的軟體產品方面擁有證明的技能。

Arindam 也精通開發自動化和超自動化解決方案,利用自動化工作流程引擎並將其與人工智慧整合。此外,他是《Build and Deploy Machine Learning Solutions using IBM Watson》的作者,該書教導如何使用流行的 IBM Watson 工具包來構建人工智慧應用程式。