# Building LLM Powered Applications: Practical Guide to LLM Apps and Agents

Practical Guide Apps: Building LLM Powered Applications is a hands-on book about applying large language models to software, covering model choices, prompt engineering, LangChain, and intelligent agents. Its scope also includes retrieval from unstructured data, structured-data workflows, fine-tuning, multimodal applications, and responsible AI. The listing expects readers to have core machine-learning or software-engineering fundamentals, though prior LLM experience is not assumed.

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- Market: US
- Language: en-US
- Currency: USD
- Category: Books, Music & Hobbies > Books, Music & Movies > Books & Comics
- Price: 36.97 USD
- Previous price: 49.99 USD
- Discount: 26%
- Price checked: 2026-11-14T05:49:37.134Z
- Rating: 4.1 / 5
- Reviews: 47

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## At a glance

- Covers LLM architecture and models including GPT-3.5/4, Llama 2, and Falcon LLM.
- Applies LangChain and Streamlit to building LLM-based applications.
- Topics include prompts, memory, tools, vector databases, and retrieval from unstructured information.
- Also covers structured data, fine-tuning, multimodal applications, and responsible AI.

## Pros

- Bridges LLM concepts with application-building topics, including agents, retrieval, conversational apps, and search.
- The broad contents span practical tooling as well as fine-tuning, multimodal systems, and ethical considerations.
- The listing states that specific prior LLM experience is not assumed.

## Cons

- Readers are expected to bring core machine-learning or software-engineering fundamentals, so this is not positioned as a fundamentals-free introduction.

## Specifications

### Publication details
- Publisher: Packt Publishing
- Publication date: May 22, 2024
- Language: English
- Print length: 342 pages
- ISBN-10: 1835462316
- ISBN-13: 978-1835462317
### Dimensions and installation
- Weight listed: 1.39 pounds
- Dimensions: 7.5 x 0.78 x 9.25 inches

## Before you buy

- The book covers named model families and frameworks, but the listing does not establish that examples or instructions have been updated beyond its May 2024 publication date. Check whether its covered tools and models suit your current project.

## A good fit for

- Software engineers and data scientists seeking applied guidance for building LLM-powered applications.
- Technical leaders, students, and researchers interested in applied LLM topics who have core ML or software-engineering fundamentals.

## Less suited to

- Readers seeking a book that assumes no technical background or teaches core software-engineering and machine-learning fundamentals from scratch.
- Readers who need coverage guaranteed to reflect the latest changes to LLM tools and models.

## Customer feedback

Aggregate customer ratings lean positive, with a majority in the five-star category, but the distribution also includes a notable one-star share. That spread suggests opinions are not uniform. Ratings alone do not reveal which topics readers liked or what prompted lower scores, so use the contents and stated technical prerequisites to judge fit.

## Frequently asked questions

### Does the book assume previous LLM experience?
The listing says previous LLM experience is not assumed, but readers should have core machine-learning or software-engineering fundamentals.
### What development topics does it cover?
Listed topics include LangChain, Streamlit, prompt engineering, conversational applications, search and recommendation, structured data, retrieval, and agents.
### Does it cover more than text-based LLM applications?
Yes. The listing includes multimodal applications involving tasks and modalities such as vision and audio, alongside fine-tuning and responsible AI.
### What are the listed print details?
The listing gives a print length of 342 pages, English language, and publication date of May 22, 2024.

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## Add-ons

- [LLM Engineer's Handbook: Master the art of engineering large language models from concept to production](https://best-deals.pro/visit/llm-engineers-handbook-large-language-models)
- [Build a Large Language Model \(From Scratch\)](https://best-deals.pro/visit/building-llm-powered-applications-book)

## Images

![Building LLM Powered Applications: Practical Guide to LLM Apps and Agents — 1](https://best-deals.pro/i/fvH-4zppuFgVbrvgKXss17xSRLDyMZ5ywe6aqM1pVIBEOd0GHUgI0NNxZy16nx41BRo6Aq2Cce0_ezkpn5hZH3wc7_ZEzdEA8d_Nj76zXDB20hbiRUc0.jpg)