menu
{ "item_title" : "Mastering Large Language Models", "item_author" : [" Ajay Rawat", "Vardan Pathak "], "item_description" : "This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots. Starting with the fundamentals--LLM architecture, tokenization, APIs, and fine-tuning--the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to creating a scheduling agent, every project reinforces both technical skills and applied understanding. It emphasizes clarity, inclusivity, and real-world relevance--helping readers move confidently from basic understanding to complex applications. Whether you're exploring Agentic AI or looking to build production-ready systems, this book gives you the tools to turn curiosity into capability--and innovation into impact. What you will learn: Build intelligent chatbots and tools using LLMs like GPT, LLaMA, and Mistral with guided development steps. Combine LLMs with vector databases like FAISS and Pinecone to create accurate, context-aware AI systems. Design AI agents capable of planning and executing complex workflows for automation and decision-making. Apply prompt engineering, memory, and multimodal tools to build real-world AI apps for your project portfolio. Who this book is for: Machine Learning engineers, data scientists, and AI professionals interested in learning how to build real-world AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent chatbots.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/886/882/9798868827327_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Large Language Models|Ajay Rawat

Mastering Large Language Models : Architectures, Applications, and Real-World Deployments of Large Language Models

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots.

Starting with the fundamentals--LLM architecture, tokenization, APIs, and fine-tuning--the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to creating a scheduling agent, every project reinforces both technical skills and applied understanding. It emphasizes clarity, inclusivity, and real-world relevance--helping readers move confidently from basic understanding to complex applications.

Whether you're exploring Agentic AI or looking to build production-ready systems, this book gives you the tools to turn curiosity into capability--and innovation into impact.

What you will learn:

  • Build intelligent chatbots and tools using LLMs like GPT, LLaMA, and Mistral with guided development steps.
  • Combine LLMs with vector databases like FAISS and Pinecone to create accurate, context-aware AI systems.
  • Design AI agents capable of planning and executing complex workflows for automation and decision-making.
  • Apply prompt engineering, memory, and multimodal tools to build real-world AI apps for your project portfolio.

Who this book is for:

Machine Learning engineers, data scientists, and AI professionals interested in learning how to build real-world AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent chatbots.

Details

  • ISBN-13: 9798868827327
  • ISBN-10: 9798868827327
  • Publisher: Apress
  • Publish Date: July 2026
  • Dimensions: 10 x 7 x 1.27 inches
  • Shipping Weight: 2.38 pounds
  • Page Count: 600

Related Categories

You May Also Like...

    1

BAM Customer Reviews