LangChain in your Pocket Introduction
"LangChain in your Pocket" is a beginner's guide to building generative AI applications using Large Language Models (LLMs). Authored by Mehul Gupta, this Kindle Edition book offers a hands-on approach to understanding and utilizing the LangChain framework. With a focus on practical, step-by-step code explanations and minimal mathematical jargon, this book is an accessible resource for anyone with a basic knowledge of Python.
LangChain in your Pocket Features
Key Features:
- Step-by-step code explanations with expected outputs for each solution.
- No prerequisites: If you know Python, you're ready to dive in.
- Practical, hands-on guide with minimal mathematical explanations.
- Coverage of various LangChain modules and their applications.
Detailed Features:
- Basics of Large Language Models (LLMs): Understand the foundation of LLMs and why LangChain is pivotal in their application.
- Hello World Tutorial: Get started with setting up LangChain and creating baseline applications.
- In-depth Modules: Explore each LangChain module in detail, including Models & Prompts, Chains, Agents, OutputParsers & Memory, and more.
- Advanced Problem-Solving: Dive into complex topics like Multi-Document RAG, Hallucinations, NLP chains, and Evaluation for LLMs.
- Few-Shot Learning & Advanced Prompt Engineering: Learn about advanced techniques and their implementation using LangChain.
- Autonomous AI Agents: Discover how to create AI agents that can operate independently.
- Deployment: Understand how to deploy your applications using LangServe.
LangChain in your Pocket Faqs
Who should read "LangChain in your Pocket"?
This book is ideal for anyone interested in exploring AI, especially Generative AI. It is designed for software developers, data scientists, students, and content writers who want to understand and apply LangChain to diverse use cases.
What is the publication date of the book?
The book was published on 28 January 2024.
How many pages does the book have?
The book contains 221 pages.
In what language is the book written?
The book is written in English.
LangChain in your Pocket: Use Cases
LangChain for NLP Problems
Discover how LangChain can be used to solve various natural language processing problems, from text classification to question-answering systems.
Handling LLM Hallucinations
Learn strategies to manage and mitigate hallucinations in LLM outputs, ensuring more accurate and reliable results.
LangChain in your Pocket: Additional Resources
Customers Who Read This Book Also Read:
- "LangChain Crash Course: Build OpenAI LLM powered Apps"
- "ML Bear"
Product Details:
- ASIN: B0CTHQHT25
- Text-to-Speech: Enabled
- Enhanced Typesetting: Enabled
- Print Length: 221 pages
LangChain in your Pocket: Customer Reviews
Customers have rated "LangChain in your Pocket" with 4.7 out of 5 stars, with reviews highlighting the book's comprehensive coverage of building Generative AI applications using LLMs. Reviewers praise the book for its well-organized content and recommend it to anyone looking to explore the capabilities of LangChain.
