{
"item_title" : "Essential LLM Applications",
"item_author" : [" A. R. Daniel "],
"item_description" : "Large Language Models are changing how software is built. But turning them into reliable, useful applications requires more than calling an API. This book is a practical, hands-on guide to building LLM-powered software using modern tools and frameworks. You'll work with leading AI providers including OpenAI, Anthropic, Google and xAI, as well as learn how to integrate them into real applications using LangChain, LlamaIndex and React UIs. By the end of this book, you will be able to: - Build real LLM applications in Python and JavaScript - Work with OpenAI, Anthropic, Google and xAI APIs - Use LangChain and LlamaIndex to structure applications- Add memory, persistence and retrieval (BM25)- Extend LLMs with tools and external data sources- Build chat interfaces that work with multiple LLM providers- Understand tokens, costs and context limitations",
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Overview
Large Language Models are changing how software is built. But turning them into reliable, useful applications requires more than calling an API. This book is a practical, hands-on guide to building LLM-powered software using modern tools and frameworks.
You'll work with leading AI providers including OpenAI, Anthropic, Google and xAI, as well as learn how to integrate them into real applications using LangChain, LlamaIndex and React UIs. By the end of this book, you will be able to: - Build real LLM applications in Python and JavaScript- Work with OpenAI, Anthropic, Google and xAI APIs
- Use LangChain and LlamaIndex to structure applications
- Add memory, persistence and retrieval (BM25)
- Extend LLMs with tools and external data sources
- Build chat interfaces that work with multiple LLM providers
- Understand tokens, costs and context limitations
This item is Non-Returnable
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Details
- ISBN-13: 9798250944069
- ISBN-10: 9798250944069
- Publisher: Independently Published
- Publish Date: March 2026
- Dimensions: 9 x 6 x 0.24 inches
- Shipping Weight: 0.36 pounds
- Page Count: 114
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