Prompt Engineering Basics

Optimize LLM output formats and reasoning with System Prompts, Zero-Shot, and Few-Shot paradigms.

Abstract Algorithms

Jul 2, 2026·1 min read·Intermediate

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Quick Take

Prompt engineering is the art of structuring instructions to guide LLMs toward accurate, consistently formatted, and logical outputs. 📊 Prompt Techniques 1. Zero-Shot Prompting Querying the model dir

Prompt engineering is the art of structuring instructions to guide LLMs toward accurate, consistently formatted, and logical outputs.

📊 Prompt Techniques

1. Zero-Shot Prompting

Querying the model directly without any prior examples.

Example: "Classify the sentiment of this text: I love this cache library!"

2. Few-Shot Prompting

Providing a few input-output examples in the context to demonstrate the desired style.

Example:

Text: "I hate database locks!" -> Sentiment: Negative
Text: "This server is blazing fast!" -> Sentiment: Positive
Text: "I am writing some code." -> Sentiment: Neutral

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