Langgraph 2nd Edition
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Langgraph 2nd Edition
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Author : MORGAN. DEVLINE
language : en
Publisher:
Release Date : 2025
Langgraph 2nd Edition written by MORGAN. DEVLINE and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Mastering Langgraph 2nd Edition
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Author : CHARLES. SPRINTER
language : en
Publisher: Independently Published
Release Date : 2025-01-22
Mastering Langgraph 2nd Edition written by CHARLES. SPRINTER and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.
Mastering LangGraph, 2nd Edition: A Hands-On Guide to Building Complex, Multi-Agent Large Language Model (LLM) Applications with Ease Unlock the full potential of multi-agent systems with Mastering LangGraph, 2nd Edition-the comprehensive guide for developers looking to build powerful, intelligent applications using LangGraph and cutting-edge Large Language Models (LLMs). Whether you're a seasoned developer or just starting out, this book provides clear, step-by-step instructions, expert insights, and practical examples to help you create scalable, intelligent systems that can collaborate and adapt in real-time. In this second edition, you'll find expanded content and new case studies, focusing on integrating LLMs like GPT-3, BERT, and T5 with LangGraph to build smarter agents capable of performing complex tasks. From designing simple workflows to developing full-fledged multi-agent applications, this book is your go-to resource for mastering the art of agent-based AI development. Inside this book, you'll learn to: Master LangGraph: Understand the core components of LangGraph and how to leverage them to build scalable multi-agent systems. Integrate Large Language Models: Discover how to use GPT-3, BERT, T5, and other LLMs to empower your agents with advanced natural language capabilities. Build Intelligent Applications: Create real-world applications in fields like customer service, autonomous vehicles, and smart cities by harnessing the power of multi-agent systems. Design and Orchestrate Workflows: Learn how to create efficient workflows that enable your agents to collaborate and achieve complex goals. Optimize Performance and Scalability: Implement best practices for optimizing the performance of your agents and scaling LangGraph applications to handle large, real-time environments. Tackle Ethical and Bias Issues: Understand the ethical implications of working with AI, and implement strategies to mitigate bias and ensure fairness. Key Features: Hands-On Examples: Real-world projects and case studies that walk you through the development of multi-agent systems, powered by LLMs. Practical Code Snippets: Complete, accurate code examples with clear explanations, making it easy to replicate and modify them for your own projects. Up-to-Date Content: This second edition includes the latest advancements in LangGraph and LLM technologies, ensuring you are working with the most current tools and techniques. Best Practices and Tips: Gain insights into best practices for building maintainable, efficient, and ethical AI systems. Whether you are developing a chatbot, an autonomous vehicle system, or a smart city application, Mastering LangGraph, 2nd Edition provides you with everything you need to build intelligent, collaborative systems that can learn, adapt, and solve real-world problems. Perfect for: Developers and engineers who want to build advanced, multi-agent systems. AI enthusiasts and researchers exploring the integration of LLMs with agent-based frameworks. Students and professionals looking for a practical guide to working with LangGraph and LLMs. Start building the next generation of AI-powered applications today with Mastering LangGraph, 2nd Edition!
Langgraph
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Author : MORGAN. DEVLINE
language : en
Publisher:
Release Date : 2024
Langgraph written by MORGAN. DEVLINE and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Learning Langchain
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Author : Mayo Oshin
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-02-13
Learning Langchain written by Mayo Oshin and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Business & Economics categories.
If you're looking to build production-ready AI applications that can reason and retrieve external data for context-awareness, you'll need to master LangChain—a popular development framework and platform for building, running, and managing agentic applications. LangChain is used by several leading companies, including Zapier, Replit, Databricks, and many more. This guide is an indispensable resource for developers who understand Python or JavaScript but are beginners eager to harness the power of AI. Authors Mayo Oshin and Nuno Campos demystify the use of LangChain through practical insights and in-depth tutorials. Starting with basic concepts, this book shows you step-by-step how to build a production-ready AI agent that uses your data. Harness the power of retrieval-augmented generation (RAG) to enhance the accuracy of LLMs using external up-to-date data Develop and deploy AI applications that interact intelligently and contextually with users Make use of the powerful agent architecture with LangGraph Integrate and manage third-party APIs and tools to extend the functionality of your AI applications Monitor, test, and evaluate your AI applications to improve performance Understand the foundations of LLM app development and how they can be used with LangChain
Mastering Langchain Langgraph 2nd Edition
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Author : JULIE. SMITH
language : en
Publisher: Independently Published
Release Date : 2025-03-30
Mastering Langchain Langgraph 2nd Edition written by JULIE. SMITH and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-30 with Computers categories.
Mastering LangChain & LangGraph, 2nd Edition: Build Intelligent Agent Workflows with Ease The ultimate hands-on guide to building production-ready AI agent systems with LangChain and LangGraph - now fully updated and expanded. In the fast-evolving world of large language models (LLMs), developers need more than just powerful APIs - they need robust frameworks for orchestration, context management, tooling, and evaluation. Mastering LangChain & LangGraph, 2nd Edition delivers just that: a complete blueprint for building intelligent, modular, and secure agent workflows that scale to real-world applications. Whether you're creating document assistants, RAG pipelines, or multi-agent systems, this book walks you through every critical concept - from prompt engineering and memory to graph workflows, retrieval, evaluation, and deployment. What's inside: Foundations of LangChain and LangGraph, with real-world architecture breakdowns Dynamic prompt strategies, chain types, and context management Powerful LangGraph workflows with conditional routing, loops, and multi-agent coordination Building RAG pipelines with vector stores like Chroma, Pinecone, and Weaviate Deployment at scale using Docker, Kubernetes, and CI/CD automation Secure design: API key management, compliance (HIPAA, GDPR), and audit logging Domain-specific agent blueprints for finance, healthcare, and enterprise search A capstone project: full end-to-end system with monitoring, evaluation, and continuous improvement New in this edition: Fully updated for the latest LangChain and LangGraph APIs Advanced topics: QLoRA fine-tuning, prompt evaluation with LangSmith, risk governance Expanded appendices with CLI/API cheat sheets, glossary, and resource directories CI-ready code samples and a GitHub repo with production templates Whether you're a developer, data scientist, or AI systems architect, this book provides the practical knowledge and patterns needed to confidently design, deploy, and maintain powerful agentic AI workflows. Build smarter. Automate faster. Deploy with confidence.
Generative Ai For Cloud Solutions
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Author : Sireesha Muppala
language : en
Publisher: BPB Publications
Release Date : 2025-03-15
Generative Ai For Cloud Solutions written by Sireesha Muppala and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-15 with Computers categories.
DESCRIPTION Generative AI is transforming every industry, with applications ranging from creative content generation, simple chatbots, to entirely new ways of engaging with consumers. But there is as much uncertainty as buzz—understanding how to use this technology securely and responsibly, and recognizing what the pitfalls are. In this book, we will put together a complete picture of generative AI development on modern cloud platforms, covering all stages of building and operating a production-grade solution with consideration for performance, security, governance, and responsibility. Conceptual discussions will be accompanied by functional examples, using working code on Amazon Web Services (AWS) cloud to demonstrate key concepts. We will explore the full lifecycle, from initial model selection and fine-tuning to production deployment, monitoring, and ongoing operation. Key aspects include prompt engineering, data integration techniques, observability, the shared responsibility model, and the full solution lifecycle from design to operation. Additionally, we will discuss recommendations for prioritizing a generative AI roadmap for organizations and emerging trends in the field. As readers progress, they will gain insights into the future trends of AI and witness its transformative impact across various industries through case studies. By the end of the book, the readers will have a solid understanding of the features of foundational models and their collaboration with cloud computing, enabling them to create innovative, efficient, and ethical AI solutions in diverse cloud-based applications. WHAT YOU WILL LEARN ● Basics of cloud computing and evolution of generative AI. ● Complete solution stack for generative AI to address security and performance concerns. ● Prompt engineering for improving performance and security concerns. ● Framework for the responsible use of AI to judge risks and put safeguards in place. ● Advanced fine-tuning smaller models to get effective performance at lower costs. ● Integration with data and tools to expand the power of generative AI and handle complex workflows and access new information. WHO THIS BOOK IS FOR This book is for cloud architects, engineers, data analysts, and AI professionals. Readers should possess foundational cloud and ML knowledge; generative AI expertise is not required. TABLE OF CONTENTS 1. Cloud Computing 2. Evolution of Generative AI 3. Cloud Computing and Generative AI 4. Generative AI Stack 5. Design Components, Model Selection, Evaluation, and Model Playgrounds 6. Prompt Engineering 7. Retrieval Augmented Generation 8. Advanced Model Fine-tuning Techniques 9. Model Hosting and Application Frameworks 10. Agentic Workflows 11. Observability and Monitoring 12. Security and Governance 13. Responsible AI 14. Building and Executing a Generative AI Roadmap 15. Generative AI Future and Trends
Hands On Apis For Ai And Data Science
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Author : Ryan Day
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-03-04
Hands On Apis For Ai And Data Science written by Ryan Day and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.
Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit. As you complete the chapters in the book, you'll be creating portfolio projects that teach you how to: Design APIs that data scientists and AIs love Develop APIs using Python and FastAPI Deploy APIs using multiple cloud providers Create data science projects such as visualizations and models using APIs as a data source Access APIs using generative AI and LLMs
Ai
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Author : 吳睿誠（Ray貓）
language : zh-CN
Publisher: 深智數位股份有限公司
Release Date : 2025-08-19
Ai written by 吳睿誠（Ray貓） and has been published by 深智數位股份有限公司 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Mathematics categories.
https://youtu.be/lUX9vRKPFS8 用最實務的方式，讓 AI 真正為你的系統工作， 從此告別只會聊天的 AI，打造能解決實際問題的智慧助手！ ★ 用 Node.js 打造強大 AI 應用 ★ JavaScript/Node.js全端開發，Web 工程師最熟悉的技術棧 ★ 涵蓋 RAG 知識庫、工具調用、多 Agent 協作等企業級應用技術 ★ 實戰導向教學，每章都有完整可執行的程式碼範例 ★ 不只教你用 AI，更教你把 AI 整合到既有系統中 只要你曾經想過：「如何讓 AI 加入我的系統，為我工作？」 這本書，就是你的一個解答。 【專家推薦】 這本書正是「AI 原生」思維的結晶。書裡不只是把你帶著寫出一個 AI 應用而已，更重要的是教你怎麼善用 AI 工具的特性，像是怎麼設計提示詞、怎麼處理多輪對話、怎麼拆解工作流程，甚至連安全性、效率管理這些小細節都有涵蓋。 —— 古健樺 政大數位內容學程兼任講師 / 熊熊幹大事 BearDBT 設計總監 【基礎入門】從理論到實作的第一步 • AI 與 LLM 核心概念：從 Token、Embedding、多輪對話機制完整解析帶你更認識 AI • 環境搭建與 Discord Bot 開發：用最熟悉的 JavaScript 開始你的 AI 之旅 • OpenAI API 整合實戰：掌握 ChatGPT API 的正確使用方式 ________________________________________ 【進階技巧】Prompt Engineering 提示詞工程 • 零樣本、少樣本提示技巧：讓 AI 理解你的真正需求 • 角色提示與思維鏈：打造有個性、會推理的 AI 助手 • 格式化輸出與安全防護：用 Zod 確保穩定性，防範 Prompt Injection 攻擊 ________________________________________ 【核心技術】Tool Calling 讓 AI 長出手腳 • Function Calling 實戰：從遊戲指令到官方 API 的進化史 • 多輪工具調用：讓 AI 學會「連續技」，處理複雜任務 • OpenAI 官方工具整合：Web Search、Image Generation 輕鬆上手 ________________________________________ 【企業應用】Workflow 與 Agent 團隊協作 • 多 Agent 協作模式：協調者-工作者、評估者-優化者架構設計 • RAG 知識庫系統：突破 Token 限制，讓 AI 博覽群書 • LLM 應用開發框架：從手工打造到框架化開發的實踐介紹 【本書適合】 ◎ Full-Stack 工程師：想將 AI 能力整合到 Web 應用中 ◎ 後端開發者：需要為既有系統添加 AI 功能 ◎ 企業技術主管：評估 AI 技術導入可行性 ◎ 產品經理：了解 AI 產品開發的技術邊界 ◎ 新創團隊：快速建構 AI 產品的 MVP ◎ 資深工程師：深入理解 LLM 應用架構設計
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Author : 陳昭明
language : zh-CN
Publisher: 深智數位股份有限公司
Release Date : 2025-05-19
written by 陳昭明 and has been published by 深智數位股份有限公司 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Mathematics categories.
https://youtu.be/8LZnGUmCLB0 ★☆★深度學習暢銷好書2025全新改版★☆★ 本書專為想掌握深度學習核心概念卻不希望陷入繁瑣數學推導的讀者而設計，以「以程式設計取代定理證明」為宗旨，透過實作引導理解，縮短學習曲線，提升學習趣味與成就感。 內容著重於演算法的觀念理解，輔以大量圖解說明，捨棄冗長的理論鋪陳，讓讀者能夠輕鬆掌握深度學習的核心原理。全書提供完整範例程式與多種演算法的實務應用，強調實用性與延伸性，期盼能激發讀者靈感，將所學應用於實際專案或產品開發中。 本次改版翻修實作的範例程式，並新增更多應用實例及演算法說明，例如Transformer、Diffusion Model等。 《深度學習最佳入門與專題實戰：自然語言處理、大型語言模型與強化學習篇》內容包括：自然語言處理相關演算法、大語言模型、語音辨識、強化學習等，全面涵蓋深度學習的自然語言處理及強化學習領域。 適合讀者 ►深度學習的入門者：必須熟悉Python 程式語言及機器學習基本概念。 ►資料工程師：以應用系統開發為職志，希望能應用各種演算法，進行實作。 ►資訊工作者：希望能擴展深度學習知識領域。 ►從事其他領域的工作，希望能一窺深度學習奧秘者。
Mastering Retrieval Augmented Generation
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Author : Prashanth Josyula
language : en
Publisher: BPB Publications
Release Date : 2025-03-21
Mastering Retrieval Augmented Generation written by Prashanth Josyula and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Computers categories.
DESCRIPTION Large language models (LLMs) like GPT, BERT, and T5 are revolutionizing how we interact with technology — powering virtual assistants, content generation, and data analysis. As their influence grows, understanding their architecture, capabilities, and ethical considerations is more important than ever. This book breaks down the essentials of LLMs and explores retrieval-augmented generation (RAG), a powerful approach that combines retrieval systems with generative AI for smarter, faster, and more reliable results. It provides a step-by-step approach to building advanced intelligent systems that utilize an innovative technique known as the RAG thus making them factually correct, context-aware, and sustainable. You will start with foundational knowledge — understanding architectures, training processes, and ethical considerations — before diving into the mechanics of RAG, learning how retrievers and generators collaborate to improve performance. The book introduces essential frameworks like LangChain and LlamaIndex, walking you through practical implementations, troubleshooting, and optimization techniques. It explores advanced optimization techniques, and offers hands-on coding exercises to ensure practical understanding. Real-world case studies and industry applications help bridge the gap between theory and implementation. By the final chapter, you will have the skills to design, build, and optimize RAG-powered applications — integrating LLMs with retrieval systems, creating custom pipelines, and scaling for performance. Whether you are an experienced AI professional or an aspiring developer, this book equips you with the knowledge and tools to stay ahead in the ever-evolving world of AI. WHAT YOU WILL LEARN ● Understand the fundamentals of LLMs. ● Explore RAG and its key components. ● Build GenAI applications using LangChain and LlamaIndex frameworks. ● Optimize retrieval strategies for accurate and grounded AI responses. ● Deploy scalable, production-ready RAG pipelines with best practices. ● Troubleshoot and fine-tune RAG pipelines for optimal performance. WHO THIS BOOK IS FOR This book is for AI practitioners, data scientists, students, and developers looking to implement RAG using LangChain and LlamaIndex. Readers having basic knowledge of Python, ML concepts, and NLP fundamentals would be able to leverage the knowledge gained to accelerate their careers. TABLE OF CONTENTS 1. Introduction to Large Language Models 2. Introduction to Retrieval-augmented Generation 3. Getting Started with LangChain 4. Fundamentals of Retrieval-augmented Generation 5. Integrating RAG with LangChain 6. Comprehensive Guide to LangChain 7. Introduction to LlamaIndex 8. Building and Optimizing RAG Pipelines with LlamaIndex 9. Advanced Techniques with LlamaIndex 10. Deploying RAG Models in Production 11. Future Trends and Innovations in RAG