Cover of Prompt Engineering for LLMs

Prompt Engineering for LLMs

John Berryman and Albert Ziegler

Large language models (LLMs) promise unprecedented benefits. Well versed in common topics of human discourse, LLMs can make useful contributions to a large variety of tasks, especially now that the barrier for interacting with them has been greatly...

3.8 score
#572 overall

Score based on developer article recommendations — not sales data or reviews.

LLMAI / MLBackendprompt-engineeringragnlp
Check on Amazon

🟢 Developer Verdict

Explore the practical art of prompt engineering, gaining deep technical insights into optimizing interactions with large language models.

Read this if

  • You are an AI developer or product designer using LLMs.
  • You want practical techniques for effective LLM interaction.
  • You seek to deepen your understanding of prompt engineering.

Skip this for now if

  • You are new to LLMs and need an introductory overview first.
  • You prefer a high-level conceptual discussion over technical details.
  • You are looking for specific code examples in a particular language.
Developer signal: Overwhelming Consensus · 100% 2 analyzed mentions PracticalDeep TechnicalComprehensive

🔄 Compare & Reading Path

📊 Why Developers Recommend

1.

It makes AI and machine learning concepts accessible to a broader audience.

2.

It bridges the gap between general curiosity and deeper technical study.

3.

Valued for its practical approach — concepts connect directly to real-world engineering decisions and daily work.

Top signals: PracticalDeep TechnicalComprehensive

👤 Who Should Read This

Best for

  • Intermediate developers ready to go deeper
  • Developers who want to write better code

Less ideal for

  • Those who haven't written any code yet
  • Readers looking only for quick interview patterns
Difficulty: Intermediate Style: Deep, Reference-worthy

Explore Similar Books

More books in similar categories — browse to discover your next read.

Recommended in 2 Articles

Score Trend

Last 90 Days

Articles

1

vs prev 90d

0

Unique authors

1

Total mentions

2

Source Platforms

DEV 2
📰 About this signal · 2 analyzed mentions · Mostly High confidence

Article Types

Book List 2

Confidence

High 2
Check on Amazon

As an Amazon Associate, we earn from qualifying purchases.