Topics / Prompt Engineering
Prompt Engineering
Prompt engineering — what works, what doesn't, and why.
Why learn Prompt Engineering?
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Better prompts often beat bigger models.
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A short, learnable craft with high leverage.
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Critical for cost, latency, and accuracy in any LLM product.
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Pairs with evals — measure, don't guess.
What you can build with Prompt Engineering
Tuning chatbots and copilots Improving classification and extraction Reducing hallucinations Designing agentic prompts and tools
Prompt Engineering tutorials
2 articlesHand-written tutorials, ordered as a recommended learning path.
- 01 Prompt Engineering Basics A practical guide to prompting LLMs — system vs user prompts, clarity over cleverness, few-shot examples, structured JSON output, chain-of-thought, and eval-driven iteration.
- 02 Templates & Patterns How to turn prompts into reusable templates: variables, system messages as contracts, few-shot structure, JSON output schemas, role prompting, and when patterns help versus hurt.