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Tutorials Prompt Engineering What is Prompt Engineering?

What is Prompt Engineering?

5 min read Quiz at the end
Prompt engineering shapes LLM outputs through structured inputs — learn why it matters and how it works.

What is Prompt Engineering?

Prompt engineering is the practice of designing, structuring, and refining inputs to large language models (LLMs) to elicit accurate, relevant, and high-quality outputs without changing model weights.

  • Shape LLM behaviour through text alone
  • Works across ChatGPT, Claude, Gemini, Llama
  • Combines linguistics, psychology, and software engineering
# Poor prompt (vague):
"Write something about Python"

# Good prompt (specific):
"Write a 200-word explanation of Python list comprehensions
for a beginner with one practical example. Use simple language.
Avoid technical jargon. End with a one-line summary."
Topic Quiz · 2 questions

Test your understanding before moving on

1. What is prompt engineering?
💡 Prompt engineering shapes LLM behaviour through carefully designed text inputs without changing model weights.
2. Which prompt component sets the expertise level?
💡 The Role component (e.g. 'You are a senior Python developer') activates relevant knowledge and tone.