{"product_id":"138132","title":"Developing LLM-based AI services with Langchain ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXPCfJePu4DLZj8iRTXSYXSzenZsl.png?v=1765060604\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Developing LLM-based AI services with Langchain \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/125134177\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eCreate a smart AI service that answers your questions, summarizes PDFs, translates, and even writes emails!\u003cbr\u003e Quickly cover concepts, principles, and practice in one book! Learn RAG through an introductory LLM!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e From the basic concepts of LLM to its operating principles, it covers how to use Langchain to utilize LLM, as well as eight different practical exercises to help you use LLM and Langchain in a way that suits you. \u003cbr\u003eUsing various libraries including Langchain, OpenAI, and Streamlit, you can create various AI services such as a chatbot that asks and answers questions using your data, a conversational chatbot that remembers previous conversations, a web service that can use your PDF files, and a service that translates or writes emails on your behalf.\u003cbr\u003e This book is designed to provide insights and ideas on how to best use LLM by quickly examining concepts, principles, practical applications using LLM, and LLM case studies in one volume.\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eChapter 1: Overview of the LLM\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e __1.1 LLM Concept\u003cbr\u003e ____1.1.1 Language Model\u003cbr\u003e ____1.1.2 Giant Language Model\u003cbr\u003e __1.2 LLM Characteristics and Types\u003cbr\u003e ____1.2.1 Characteristics of LLM\u003cbr\u003e ____1.2.2 Types of LLM\u003cbr\u003e ____1.2.3 LLM and GAI, SLM\u003cbr\u003e __1.3 LLM Creation Process\u003cbr\u003e __1.4 Additional Considerations After Creating an LLM\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 2: Using LLM\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e __2.1 How to use LLM  \u003cbr\u003e____2.1.1 Fine Tuning\u003cbr\u003e ____2.1.2 RAG\u003cbr\u003e ____2.1.3 Few-shot running\u003cbr\u003e __2.2 Precautions when using LLM\u003cbr\u003e __2.3 Limitations of LLM\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 3: RAG Overview\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e __3.1 RAG concept\u003cbr\u003e __3.2 RAG implementation process\u003cbr\u003e ____3.2.1 Information Retrieval\u003cbr\u003e ____3.2.2 Advanced Information Retrieval\u003cbr\u003e ____3.2.3 Text Generation\u003cbr\u003e __3.3 What is needed to implement RAG\u003cbr\u003e ____3.3.1 Data\u003cbr\u003e ____3.3.2 Vector Database\u003cbr\u003e ____3.3.3 Framework (Langchain)\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 4: Getting Familiar with the Langchain\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e __4.1 Overview of the Rank Chain\u003cbr\u003e __4.2 Configuring the environment for using Langchain\u003cbr\u003e ____4.2.1 Configuring the Anaconda Environment\u003cbr\u003e ____4.2.2 Installing required libraries\u003cbr\u003e ____4.2.3 Key Issuance\u003cbr\u003e __4.3 Langchain main modules\u003cbr\u003e ____4.3.1 Model I\/O\u003cbr\u003e ____4.3.2 Data Connection\u003cbr\u003e ____4.3.3 Chain\u003cbr\u003e ____4.3.4 Memory\u003cbr\u003e ____4.3.5 Agents\/Tools\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 5: Implementing RAG with Langchain\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e __5.1 Creating a Simple Chatbot\u003cbr\u003e __5.2 Creating a RAG-based chatbot\u003cbr\u003e __5.3 Creating a PDF Summary Website\u003cbr\u003e __5.4 Creating a Standalone Question Chatbot\u003cbr\u003e __5.5 Creating a Conversational Chatbot\u003cbr\u003e __5.6 Creating a Translation Service \u003cbr\u003e__5.7 Creating a mail composer\u003cbr\u003e __5.8 Analyzing CSV Files\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 6: Understanding Services Using LLM\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e __6.1 Call Center\u003cbr\u003e __6.2 Product Recommendation\u003cbr\u003e __6.3 Insurance Underwriting\u003cbr\u003e __6.4 Code Generation and Review\u003cbr\u003e __6.5 Sentence Generation, M365 Copilot\u003cbr\u003e\u003cbr\u003e Appendix How to Use Colab\u003cbr\u003e __A.1 How to use Colab\u003cbr\u003e __A.2 Uploading files to Colab\u003cbr\u003e\u003cbr\u003e Search\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate4429\/MidCate004\/442831089.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eAnyone can learn and create an LLM easily and quickly!\u003cbr\u003e By creating eight available LLM services and practicing various scenarios,\u003cbr\u003e Let's make it with our own hands using our data!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e What this book covers: LLM concepts, principles, and examples, and how to use RankChain.\u003cbr\u003e\u003cbr\u003e Anyone can learn LLM and create LLM services.\u003cbr\u003e Rather than simply following along, if you understand the concepts and principles, learn the rank chain, and apply it in various ways, you will be able to experience LLM much more efficiently. \u003cbr\u003e- [Concept] Understanding the concept of what LLM, fine tuning, and RAG are and what they can do.\u003cbr\u003e - [Operating Principle] Understanding the operating principle through the LLM generation process and RAG implementation process.\u003cbr\u003e - [How to use Langchain] Setting up an environment for using Langchain \u0026amp; practicing major modules\u003cbr\u003e - [Implementation Method, Practice] Implementing 8 LLM services at a practical usable level with Langchain.\u003cbr\u003e - [Case] ​​Case of a service that actually utilizes LLM\u003cbr\u003e\u003cbr\u003e \u003cb\u003eThis book's various practical scenarios: Creating eight usable LLM services.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Let's create an LLM service together using Langchain and LLM.\u003cbr\u003e We've structured the scenarios in a variety of practical use cases, and kept the code short and focused on the core content.\u003cbr\u003e - Simple chatbot using LLM\u003cbr\u003e - RAG-based chatbot using Langchain and ChatGPT\u003cbr\u003e - A website that summarizes PDFs\u003cbr\u003e - A chatbot that asks standalone questions to PDF files.\u003cbr\u003e - Conversational chatbot\u003cbr\u003e - Translation service\u003cbr\u003e - Mail composer \u003cbr\u003e- Analyzing CSV files using LLM\u003cbr\u003e\u003cbr\u003e \u003cb\u003eAuthor's Preface\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Anyone can quickly and easily create an LLM service by simply using the created LLM rather than creating the LLM directly.\u003cbr\u003e In particular, with the emergence of the LLM development platform called Langchain, service development using LLM has become considerably easier.\u003cbr\u003e However, if you don't have any knowledge about artificial intelligence or don't know how to develop it, you may think that this story has nothing to do with you.\u003cbr\u003e So this book is for people like you:\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e - People who have little knowledge of artificial intelligence but want to create a service using LLM\u003cbr\u003e - Someone who doesn't know much about development but still wants to create a service using LLM\u003cbr\u003e\u003cbr\u003e As this book is written for beginners, the code used in the exercises is short and focused on core content, and the scenarios are also structured in a variety of ways. \u003cbr\u003eOf course, it may be difficult at first, but I recommend that you create a service using the provided code as is and then modify it little by little to implement your own service. \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e February 27, 2024\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 220 pages | 514g | 183*235*11mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791140708598 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default 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