Feb 1, 2025

Feb 1, 2025

15–18 minutes

15–18 minutes

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Read

Prompt Engineering: A Practical Guide to Getting Better Results from Large Language Models

A practical guide to prompt engineering, covering proven techniques, configuration strategies, and best practices to help practitioners improve accuracy, reliability, and efficiency when working with large language models.

Lee Boonstra

Prompt Engineering Specialist, Google

PROMPT ENGINEERING
LARGE LANGUAGE MODELS
GENERATIVE AI
AI BEST PRACTICES
MODEL CONFIGURATION
CHAIN OF THOUGHT
SYSTEM PROMPTING
ENTERPRISE AI
PROMPT ENGINEERING
LARGE LANGUAGE MODELS
GENERATIVE AI
AI BEST PRACTICES
MODEL CONFIGURATION
CHAIN OF THOUGHT
SYSTEM PROMPTING
ENTERPRISE AI
PROMPT ENGINEERING
LARGE LANGUAGE MODELS
GENERATIVE AI
AI BEST PRACTICES
MODEL CONFIGURATION
CHAIN OF THOUGHT
SYSTEM PROMPTING
ENTERPRISE AI

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This guide explains how prompt design, model configuration, and advanced prompting techniques—such as chain-of-thought, few-shot prompting, and role prompting—can significantly improve the quality, reliability, and efficiency of large language model outputs, with practical guidance for real-world and enterprise use.

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