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LangChain in your Pocket
LangChain in your Pocket

LangChain in your Pocket: LangChain Essentials: From Basic Concepts to Advanced Applications

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Profile Icon Mehul Gupta
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$9.99 $25.99
eBook May 2024 152 pages 1st Edition
eBook
$9.99 $25.99
Arrow left icon
Profile Icon Mehul Gupta
Arrow right icon
$9.99 $25.99
eBook May 2024 152 pages 1st Edition
eBook
$9.99 $25.99
eBook
$9.99 $25.99

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Key benefits

  • Step-by-step code explanations with expected outputs for each solution
  • Practical examples and hands-on tutorials for real-world application
  • Detailed discussions on managing and evaluating large language models

Description

"LangChain in your Pocket" offers a detailed exploration into the LangChain framework, designed to enhance your skills in developing sophisticated language understanding models and applications. This book begins with the basics, introducing you to the fundamental concepts of LangChain through a simple "Hello World" example. As you progress, you'll delve into various LangChain modules, learning how to create agents, manage memory, and utilize output parsers effectively. The journey continues as you explore the RAG Framework, vector databases, and their applications in natural language processing, providing you with the tools to tackle common NLP problems efficiently. The book also addresses critical aspects of working with large language models (LLMs), such as prompt engineering, handling hallucinations, and evaluating model outputs. Advanced topics like autonomous AI agents and the integration of LangSmith and LangServe are covered, giving you a holistic view of what you can achieve with LangChain. By the end of this book, you will not only understand the technical aspects of LangChain but also how to apply these principles in real-world scenarios, making it an essential resource for anyone looking to advance their capabilities in AI and language processing.

Who is this book for?

The book "LangChain in your Pocket: Beginner's Guide to Building Generative AI Applications using LLMs" is an excellent resource for individuals new to the world of Generative AI. Whether you are a software developer, data scientist, or student, this beginner-friendly book provides a comprehensive introduction to the LangChain framework and its practical applications. Regardless of your prior experience, this book is a valuable asset for anyone interested in diving into the world of Generative AI and leveraging the power of LangChain.

What you will learn

  • Navigate the basic to advanced features of LangChain
  • Build and manage language understanding models and applications
  • Employ advanced prompt engineering techniques
  • Implement and evaluate large language models effectively
  • Develop autonomous AI agents with LangChain
  • Integrate LangSmith and LangServe for enhanced functionality

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 15, 2024
Length: 152 pages
Edition : 1st
Language : English
ISBN-13 : 9781836201243
Category :
Languages :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : May 15, 2024
Length: 152 pages
Edition : 1st
Language : English
ISBN-13 : 9781836201243
Category :
Languages :

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Frequently bought together


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Table of Contents

18 Chapters
Chapter 1: Introduction Chevron down icon Chevron up icon
Chapter 2: Hello World Chevron down icon Chevron up icon
Chapter 3: Different LangChain Modules Chevron down icon Chevron up icon
Chapter 4: Models and Prompts Chevron down icon Chevron up icon
Chapter 5: Chains Chevron down icon Chevron up icon
Chapter 6: Agents Chevron down icon Chevron up icon
Chapter 7: OutputParsers and Memory Chevron down icon Chevron up icon
Chapter 8: Callbacks Chevron down icon Chevron up icon
Chapter 9: RAG Framework and Vector Databases Chevron down icon Chevron up icon
Chapter 10: LangChain for NLP problems Chevron down icon Chevron up icon
Chapter 11: Handling LLM Hallucinations Chevron down icon Chevron up icon
Chapter 12: Evaluating LLMs Chevron down icon Chevron up icon
Chapter 13: Advanced Prompt Engineering Chevron down icon Chevron up icon
Chapter 14: Autonomous AI agents Chevron down icon Chevron up icon
Chapter 15: LangSmith and LangServe Chevron down icon Chevron up icon
Chapter 16: Additional Features Chevron down icon Chevron up icon
Endnotes Chevron down icon Chevron up icon
About the Author Chevron down icon Chevron up icon
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