Langchain Llm
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Generative Ai With Langchain
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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-22
Generative Ai With Langchain written by Ben Auffarth and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Computers categories.
2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Learn how to leverage LangChain to work around LLMs’ inherent weaknesses Delve into LLMs with LangChain and explore their fundamentals, ethical dimensions, and application challenges Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality Book DescriptionChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications. Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.What you will learn Create LLM apps with LangChain, like question-answering systems and chatbots Understand transformer models and attention mechanisms Automate data analysis and visualization using pandas and Python Grasp prompt engineering to improve performance Fine-tune LLMs and get to know the tools to unleash their power Deploy LLMs as a service with LangChain and apply evaluation strategies Privately interact with documents using open-source LLMs to prevent data leaks Who this book is for The book is for developers, researchers, and anyone interested in learning more about LangChain. Whether you are a beginner or an experienced developer, this book will serve as a valuable resource if you want to get the most out of LLMs using LangChain. Basic knowledge of Python is a prerequisite, while prior exposure to machine learning will help you follow along more easily.
Langchain Llm
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Author : Morgan Devline
language : en
Publisher: Independently Published
Release Date : 2024-12-06
Langchain Llm written by Morgan Devline and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
LangChain helps you to revolutionize your approach to AI application development! Whether you're a developer, data scientist, or AI enthusiast, this book provides a comprehensive, hands-on guide to building intelligent, scalable, and efficient systems using LangChain and large language models (LLMs). Developing applications that leverage the power of LLMs can be complex and overwhelming. LangChain LLM simplifies the process, offering tools and workflows to seamlessly integrate LLMs into your projects. From creating dynamic chatbots to implementing advanced knowledge retrieval systems, this book equips you with the skills and knowledge to tackle real-world challenges with confidence. What You'll Learn Foundational Concepts: Understand the basics of LangChain and large language models, their applications, and their synergy in AI workflows. Building Applications: Create personalized chatbots, knowledge retrieval systems, and summarization tools. Advanced Features: Explore LangChain's memory, tool integrations, and multi-agent systems to design intelligent, context-aware applications. Deployment and Scaling: Learn how to deploy your AI applications on the cloud, optimize workflows for production, and handle high-traffic environments. Hands-On Practice: Dive into step-by-step projects and exercises, complete with clean, well-commented code examples and downloadable resources. Why Read This Book? Practical Focus: This isn't just theory. You'll actively build projects that mirror real-world use cases, from retrieval-augmented generation (RAG) systems to dynamic workflow generators. Cutting-Edge Techniques: Stay ahead of the curve with insights into the latest AI trends, including multi-modal LLMs and serverless architectures. Accessible for All Levels: Designed for both beginners and experienced developers, the book breaks down complex concepts into simple, actionable steps. Interactive Resources: Access a companion GitHub repository, coding challenges, and downloadable examples to enhance your learning experience. This book is perfect for: AI Developers looking to master LangChain and integrate LLMs into their workflows. Data Scientists seeking to build intelligent, data-driven applications. Tech Enthusiasts curious about the capabilities of modern AI technologies. Anyone eager to design, deploy, and scale AI solutions in a practical, hands-on way. What Readers Are Saying "This book demystifies LangChain and LLMs with clear examples and actionable insights." "A must-have guide for anyone looking to build real-world AI applications with LangChain." "Finally, a resource that makes advanced AI concepts approachable and practical!" If you're ready to harness the full potential of LangChain and transform your AI development skills, this book is your roadmap. Whether you're building your first chatbot or scaling a multi-agent system, LangChain LLM: A Hands-On Guide to Building and Deploying Large Language Model Applications will guide you every step of the way.
Adversarial Ai Attacks Mitigations And Defense Strategies
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Author : John Sotiropoulos
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-26
Adversarial Ai Attacks Mitigations And Defense Strategies written by John Sotiropoulos and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.
“The book not only explains how adversarial attacks work but also shows you how to build your own test environment and run attacks to see how they can corrupt ML models. It's a comprehensive guide that walks you through the technical details and then flips to show you how to defend against these very same attacks.” – Elaine Doyle, VP and Cybersecurity Architect, Salesforce Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Understand the unique security challenges presented by predictive and generative AI Explore common adversarial attack strategies as well as emerging threats such as prompt injection Mitigate the risks of attack on your AI system with threat modeling and secure-by-design methods Book DescriptionAdversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips you with the skills to secure AI technologies. Learn how to defend AI and LLM systems against manipulation and intrusion through adversarial attacks such as poisoning, trojan horses, and model extraction, leveraging DevSecOps, MLOps, and other methods to secure systems. This is a comprehensive guide to AI security, combining structured frameworks with practical examples to help you identify and counter adversarial attacks. Part 1 introduces the foundations of AI and adversarial attacks. Parts 2, 3, and 4 cover key attack types, showing how each is performed and how to defend against them. Part 5 presents secure-by-design AI strategies, including threat modeling, MLSecOps, and guidance aligned with OWASP and NIST. The book concludes with a blueprint for maturing enterprise AI security based on NIST pillars, addressing ethics and safety under Trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI systems against the threat of adversarial attacks effectively. *Email sign-up and proof of purchase required What you will learn Set up a playground to explore how adversarial attacks work Discover how AI models can be poisoned and what you can do to prevent this Learn about the use of trojan horses to tamper with and reprogram models Understand supply chain risks Examine how your models or data can be stolen in privacy attacks See how GANs are weaponized for Deepfake creation and cyberattacks Explore emerging LLM-specific attacks, such as prompt injection Leverage DevSecOps, MLOps and MLSecOps to secure your AI system Who this book is for This book tackles AI security from both angles - offense and defence. AI developers and engineers will learn how to create secure systems, while cybersecurity professionals, such as security architects, analysts, engineers, ethical hackers, penetration testers, and incident responders will discover methods to combat threats to AI and mitigate the risks posed by attackers. The book also provides a secure-by-design approach for leaders to build AI with security in mind. To get the most out of this book, you’ll need a basic understanding of security, ML concepts, and Python.
Observability For Legacy Systems
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Author : Hyen Seuk Jeong
language : en
Publisher: Springer Nature
Release Date : 2025-08-30
Observability For Legacy Systems written by Hyen Seuk Jeong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-30 with Computers categories.
Become an expert in implementing observability methods for legacy technologies and discover how to use AIOps and OpenTelemetry to analyze root causes and solve problems in banking and telecommunications. Through this book, you will engage with issues that occur in kernels, networks, CPU, and IO by developing skills to handle traces and logs, as well as Profiles (eBPF) and debugging. The real-world examples in the book will enable you to analyze and aggregate observability data, helping you gain competence in automating systems and resolving business-critical issues rapidly and efficiently. The book will introduce you to new observability approaches, describe different types of errors, and explain how observability addresses them. It will provide training on how to develop dashboards and charts and design a root cause analysis process. Emphasizing trace-centric observability, you will gain expertise in using EAI servers to integrate legacy tech and using extensions to complement the OpenTelemetry Agent. You will also understand the varied practical uses of OpenTelemetry through examples from multiple industries, as well as an OpenTelemetry demo application. The book then takes you through infrastructure observability and infrastructure anomaly detection, enabling you to visualize and trace problems, and helping you identify and proactively respond to anomalies in system resources. In the final chapters, you will learn how to aggregate and analyze observability data using Presto and Druid. Finally, you will familiarize yourself with AIOps and learn how to implement it with Langchain and RAGs. By the end of this book, you will be fully trained in the practical implementation of observability and using observability data to identify, analyze, and solve problems for large industries like finance and telecommunications. What You Will Learn Integrate observability with legacy technology Perform root cause analysis using observability platforms like OpenTelemetry Analyze and aggregate observability data to solve business problems Use AIOps and anomaly detection tools to automate operations and reduce costs Who This Book Is For System developers, data engineers, SREs, infrastructure engineers, system architects, Java developers, and DevOps engineers who are enthusiastic about observability and want to implement it with legacy technology.
Intermediate Python And Large Language Models
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Author : Dilyan Grigorov
language : en
Publisher: Springer Nature
Release Date : 2025-06-27
Intermediate Python And Large Language Models written by Dilyan Grigorov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.
Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain. This book provides a hands-on approach to understanding, implementing, and deploying LLM-powered solutions, equipping developers, data scientists, and AI enthusiasts with the tools to create real-world AI applications. The journey begins with an introduction to LangChain, covering its core concepts, integration with Python, and essential components such as prompt engineering, memory management, and retrieval-augmented generation (RAG). As you progress, you’ll explore advanced AI workflows, including multi-agent architectures, fine-tuning strategies, and optimization techniques to maximize LLM efficiency. The book also takes a deep dive into practical applications of LLMs, guiding you through the development of intelligent chatbots, document retrieval systems, content generation pipelines, and AI-driven automation tools. You’ll learn how to leverage APIs, integrate LLMs into web and mobile platforms, and optimize large-scale deployments while addressing key challenges such as inference latency, cost efficiency, and ethical considerations. By the end of the book, you’ll have gained a solid understanding of LLM architectures, hands-on experience with LangChain, and the expertise to build scalable AI applications that redefine human-computer interaction. What You Will Learn Understand the fundamentals of LangChain and Python for LLM development Know advanced AI workflows, including fine-tuning and memory management Build AI-powered applications such as chatbots, retrieval systems, and automation tools Know deployment strategies and performance optimization for real-world use Use best practices for scalability, security, and responsible AI implementation Unlock the full potential of LLMs and take your AI development skills to the next level Who This Book Is For Software engineers and Python developers interested in learning the foundations of LLMs and building advanced modern LLM applications for various tasks
Innovative Computing And Communications
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2025-09-26
Innovative Computing And Communications written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-26 with Technology & Engineering categories.
This book includes high-quality research papers presented at the Eighth International Conference on Innovative Computing and Communication (ICICC 2025), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 14–15 February 2025. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Human Centred Intelligent Systems
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Author : Alfred Zimmermann
language : en
Publisher: Springer Nature
Release Date : 2025-01-16
Human Centred Intelligent Systems written by Alfred Zimmermann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Computers categories.
The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2024 (KES HCIS 2024), held in Madeira, Portugal on June 19–21, 2024. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.
Textual Intelligence
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Author : Meenakshi Malik
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-23
Textual Intelligence written by Meenakshi Malik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
The book is a must-have resource for anyone looking to understand the complexities of generative AI, offering comprehensive insights into LLMs, effective training strategies, and practical applications. Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book: Explores the real-world potential of large language models; Introduces industry-changing AI solutions; Provides advanced insights on AI and its models. Audience Industry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI.
Proceedings Of International Conference On Recent Innovations In Computing
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Author : Zoltán Illés
language : en
Publisher: Springer Nature
Release Date : 2024-10-22
Proceedings Of International Conference On Recent Innovations In Computing written by Zoltán Illés and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
This book features selected papers presented at the 6th International Conference on Recent Innovations in Computing (ICRIC 2023), held on 26–27 October 2023 at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Langchain Openai X Gemini X
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Author : 柯克(Ko Ko)、陳葵懋 (Ian Chen)、Ryan Chung
language : zh-CN
Publisher: 博碩文化
Release Date : 2024-10-09
Langchain Openai X Gemini X written by 柯克(Ko Ko)、陳葵懋 (Ian Chen)、Ryan Chung and has been published by 博碩文化 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with Computers categories.
1.全書深入探討如何使用LangChain結合Azure OpenAI、Gemini以及地端開源模型的部署，並提供多種應用示範。讀者可以透過本書，從開發到部署全方位掌握AI技術的應用。 2.RAG（檢索增強生成）架構是目前企業打造知識庫型LLM應用的首選架構。本書除詳盡講解RAG架構之外，更是第一本詳解Qdrant向量資料庫的書籍。 3.生成式AI的應用從單一工具擴展至最新的AI Agent前沿技術。本書專章探討AI Agent的概念與應用，協助開發者開發更具前瞻性的AI思維的應用。 4.本書適合的「讀者族群」 i.想瞭解如何使用LangChain的開發者 ii.想瞭解向量資料庫與RAG架構的開發者 iii.想瞭解AI Agent的概念與應用的開發者 iv.想瞭解在企業面如何整合不同LLM模型導入應用的技術主管 【專業推薦】 這本書結合了OpenAI與Gemini兩項主流的語言模型技術，並讓讀者能夠透過開發指南開發不同的應用。這本書不僅讓讀者能夠深入了解語言模型的運作原理，更能夠透過實作的方式，將理論知識轉換為實際應用。對於想要進入AI領域的開發者來說，絕對不能錯過這本書。 ──── Jimmy Liao, 廖聖傑 (Certification) Google Developer Expert, Generative AI Appier, Senior Software Engineer, Full Stack, Copilot/Assistant Squad ex-Microsoft Azure Data/AI Cloud Solution Architect ex-IBM Staff Software Engineer, Mobile Architect 本書凝聚了他們這兩年對生成式AI的研究，展示了他們對AI應用的深刻理解。無論你是AI技術的愛好者，還是專注於生成式AI開發的專業人士，本書都將為你提供有價值的洞見與實用技巧。AI的未來充滿機遇，而LangChain正是其中的重要工具。希望本書能幫助你在開發過程中取得突破，並推動技術的持續進步。 ──── Kui-Ming Chen / Microsoft AI MVP 這本書以LangChain框架為基礎，構建了一套完整的大型語言模型學習地圖，讓你能深入理解語言模型的運作原理，並透過實際操作的方式將這些技術應用於真實專案中。無論你對AI是初學者還是有經驗的開發者，這本書將成為你邁向LLM開發之路的重要指南，幫助你在AI領域快速取得突破。 ──── 張維元 / 資料科學家的工作日常