Mastering Large Language Models: Architectures, Applications, and Real-World Deployments of Large Language Models
暫譯: 掌握大型語言模型：架構、應用與大型語言模型的實際部署
Rawat, Ajay, Pathak, Vardan
- 出版商: Apress
- 出版日期: 2026-07-14
- 售價: $2,160
- 貴賓價: 9.5 折 $2,052
- 語言: 英文
- 頁數: 600
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798868827327
- ISBN-13: 9798868827327
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相關分類:
Large language model
海外代購書籍(需單獨結帳)
商品描述
This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots.
Starting with the fundamentals--LLM architecture, tokenization, APIs, and fine-tuning--the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to creating a scheduling agent, every project reinforces both technical skills and applied understanding. It emphasizes clarity, inclusivity, and real-world relevance--helping readers move confidently from basic understanding to complex applications.
Whether you're exploring Agentic AI or looking to build production-ready systems, this book gives you the tools to turn curiosity into capability--and innovation into impact.
What you will learn:
- Build intelligent chatbots and tools using open-source LLMs like GPT, LLaMA, and Mistral with guided deployment steps.
- Combine LLMs with vector databases like FAISS and Pinecone to create accurate, context-aware AI systems.
- Design AI agents capable of planning and executing complex workflows for automation and decision-making.
- Apply prompt engineering, memory, and multimodal tools to build real-world AI apps for your project portfolio.
Who this book is for:
Machine Learning engineers, data scientists, and AI professionals interested in learning how to build real-world AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent chatbots.
商品描述(中文翻譯)
這本書是一本實用指南，旨在幫助讀者理解、構建和部署強大的人工智慧解決方案，使用大型語言模型（Large Language Models, LLMs）、檢索增強生成（Retrieval-Augmented Generation, RAG）、代理系統（agentic systems）和智能聊天機器人（intelligent chatbots）。
從基礎知識開始——LLM架構、標記化（tokenization）、API和微調（fine-tuning）——本書逐步構建到複雜的集成系統。讀者將學會使用向量數據庫（vector databases）如FAISS和Pinecone實現RAG管道，開發能夠完成多步任務的自主AI代理，並創建能理解和適應用戶需求的現實世界聊天機器人。這種方法以項目為驅動：每一章都包括視覺解釋、逐步的代碼演示和可部署的範例。從構建一個搜索您筆記的個人助理到創建一個排程代理，每個項目都強化了技術技能和應用理解。它強調清晰性、包容性和現實世界的相關性——幫助讀者自信地從基本理解過渡到複雜應用。
無論您是在探索代理AI還是希望構建生產就緒的系統，這本書都為您提供了將好奇心轉化為能力——並將創新轉化為影響的工具。
您將學到的內容：
- 使用開源LLM如GPT、LLaMA和Mistral構建智能聊天機器人和工具，並提供指導的部署步驟。
- 將LLM與向量數據庫如FAISS和Pinecone結合，創建準確且具上下文感知的AI系統。
- 設計能夠規劃和執行複雜工作流程的AI代理，以實現自動化和決策。
- 應用提示工程（prompt engineering）、記憶和多模態工具，為您的項目組合構建現實世界的AI應用。
本書適合對象：
機器學習工程師、數據科學家和AI專業人士，對學習如何使用大型語言模型（LLMs）、檢索增強生成（RAG）、代理AI和智能聊天機器人構建現實世界的AI系統感興趣。
作者簡介
Ajay Rawat, PhD, is a Lecturer in Computing at Manchester Metropolitan University, UK, with over 20 years of experience spanning academia, industry, and professional training.
Previously a data engineer at the Hartree Centre, STFC (UKRI), he has led strategic projects in data engineering, AI, and LLM/RAG systems on cloud platforms. Ajay is an
Authorized Instructor for Databricks, Google Cloud, and Confluent, having delivered 400+ global training sessions to professionals at organizations including Google, Citibank,
Walmart, and PayPal. He was awarded the Pluralsight Elite Instructor Award for exceptional delivery quality and learner impact. A former assistant professor with over 13 years of higher-education teaching experience, Ajay holds a PhD in Computer Science and Engineering, an MS from BITS Pilani, and 14+ professional certifications from Databricks, Google Cloud, and Confluent. His research spans cloud computing fault tolerance, AI-driven systems, and deep learning. He is the founder of SkillSage LTD and is based in Warrington, UK.
Vardan Pathak is a senior consultant, author, and corporate trainer with over 20 years of experience in IT and management consulting and more than 10 years specializing in machine learning (ML), deep learning, and Agentic AI. He is the author of Clone the Mind, a book on AI Agents that demonstrates how Agentic AI can replace repetitive roles and reshape industries using LangGraph and CrewAI. Vardan brings hands-on expertise in Python, Generative AI, RAG pipelines, diffusion models, and MCP-based enterprise workflows.
A highly sought-after global trainer, he has delivered 100+ training programs to professionals across the United States, Canada, Singapore, Dubai, Australia, Europe, and the UK, covering data science, ML, deep learning, and Agentic AI for corporate and academic audiences. He holds an MCA from UP Technical University, India, and is a SkillSage AI Advisor. He is based in Greater Noida, India.
作者簡介(中文翻譯)
Ajay Rawat 博士是英國曼徹斯特城市大學的計算機講師，擁有超過 20 年的學術、產業和專業培訓經驗。
他曾擔任英國研究與創新局 (UKRI) Hartree Centre 的數據工程師，領導雲平台上的數據工程、人工智慧 (AI) 和 LLM/RAG 系統的戰略項目。Ajay 是 Databricks、Google Cloud 和 Confluent 的授權講師，已為包括 Google、花旗銀行、沃爾瑪和 PayPal 在內的專業人士提供了超過 400 場的全球培訓課程。他因卓越的授課質量和學習者影響力而獲得 Pluralsight 精英講師獎。Ajay 曾擔任助理教授，擁有超過 13 年的高等教育教學經驗，並持有計算機科學與工程博士學位、比爾拉科技學院 (BITS Pilani) 的碩士學位，以及來自 Databricks、Google Cloud 和 Confluent 的 14 種以上專業認證。他的研究範疇包括雲計算容錯、AI 驅動系統和深度學習。他是 SkillSage LTD 的創始人，現居英國沃靈頓。
Vardan Pathak 是一位資深顧問、作者和企業培訓師，擁有超過 20 年的 IT 和管理諮詢經驗，並專注於機器學習 (ML)、深度學習和 Agentic AI 超過 10 年。他是《Clone the Mind》一書的作者，該書探討了 AI 代理如何利用 LangGraph 和 CrewAI 取代重複性角色並重塑行業。Vardan 擁有 Python、生成式 AI、RAG 管道、擴散模型和基於 MCP 的企業工作流程的實務專業知識。
作為一位備受追捧的全球培訓師，他已為美國、加拿大、新加坡、杜拜、澳大利亞、歐洲和英國的專業人士提供了超過 100 場的培訓課程，涵蓋數據科學、機器學習、深度學習和 Agentic AI，面向企業和學術觀眾。他擁有印度 UP 技術大學的 MCA 學位，並擔任 SkillSage AI 顧問。他現居印度大諾伊達。
