My first book, LangChain in your Pocket is Out!

Beginner’s Guide to Building Generative AI Applications using LLMs

Google has listed as amongst the best book on LangChain

After 6 months of hard work and a worsened eye-sight, my first book :

LangChain in your Pocket : Beginner’s Guide to Building Generative AI Applications using LLMs

is out now on Amazon at the below link (in Kindle, PDF & Paperback versions). The 1st chapter is free!

LangChain in your Pocket: Beginner's Guide to Building Generative AI Applications using LLMs

LangChain in your Pocket | Packt

And even at GumRoad:

LangChain in your Pocket

I’m overwhelmed by the response the book has got in the 1st week of release

For those who don’t know, LangChain is a revolutionary framework that enables building GenAI applications using LLMs with minimal codes. Since the inception of ChatGPT in late 2022, the AI community has been on fire; almost everyone is using GenAI for some use case or another.

But I assume you don’t wish to limit yourself to just ChatGPT. Right?

So, it's your chance to upgrade yourself to LangChain, a Python/JavaScript framework that, using Large Language Models (LLMs) at its core, can help you develop numerous applications ranging from Classification models to Auto-SQL generators to Internet-enabled GPT to Multi-Document RAG.

Key features:

• Step-by-step code explanations with expected outputs using GPT4 for each solution.
• No prerequisites: If you know Python, you can dive in.
• Practical, hands-on guide with minimal mathematical explanations.
• Apart from OpenAI API, it shows how to use local LLMs and Hugging Face API (free).
• The price is quite affordable compared to other similar books to make it accessible for all.

What is covers?

This beginner-friendly introduction covers:

1. Basics of Large Language Models (LLMs) and why LangChain is pivotal.
2. Hello World tutorial for setting up LangChain and creating baseline applications.
3. In-depth chapters on each LangChain module.
4. Advanced problem-solving, including Multi-Document RAG, Hallucinations, NLP chains, and Evaluation for LLMs for supervised and unsupervised ML problems.
5. Dedicated sections for Few-Shot Learning, Advanced Prompt Engineering using ReAct, Autonomous AI agents, and deployment using LangServe.

Who should read it?

This book is for anyone keen on exploring AI, especially Generative AI. Whether you’re a Software Developer, Data Scientist, Student or Content Writer, the focus on diverse use cases in LangChain and GenAI makes it equally valuable to all.

Table of Content

About Me

Let me introduce myself if you’re reading my blogs for the first time. I have been in the Data Science & AI field for nearly 5 years now with a degree in Computer Science.

• I have been blogging for 4–5 years on Medium with over 140+ technical blogs garnering about a Million views. Most of my previous posts are hardcore technical explaining some complex algorithm or framework.
• Not just Medium, I run a YouTube channel, ‘Data Science in your Pocket’ with about ~500 Data Science and AI tutorials.
• I’ve got a couple of research papers published with Elsevier on prescription digitization.

Hope you enjoy this book!

Do review the book on Amazon. This will help it reach a wider audience. Do let me know your reviews or further queries at datasciencepocket@gmail.com