Advanced Prompt Engineering Techniques for Power Users
Once you've mastered basic prompt engineering, it's time to explore advanced techniques that can dramatically improve your results.
Chain-of-Thought Prompting
Ask the model to reason step by step before giving its final answer. This dramatically improves accuracy on complex tasks like math problems and logical reasoning.
Few-Shot Learning
Provide examples of the desired output format and quality. Well-chosen examples can dramatically improve output quality without any model fine-tuning.
Structured Output Generation
Force the model to output in specific formats (JSON, XML, markdown) by explicitly describing the format and providing a template.
Persona Prompting
Assign the model a specific role or persona. This consistently produces better results for domain-specific tasks.
Iterative Refinement
Instead of asking for the perfect output in one prompt, use multiple rounds:
- Generate a draft
- Criticize and request improvements
- Refine
Constraint Injection
Add explicit constraints to guide the output: word limits, tone requirements, audience specifications, and content restrictions.
Putting It All Together
The most powerful prompts combine multiple techniques. For example, a persona + chain-of-thought + structured output prompt can produce remarkably high-quality results. 212AY's Prompt Engineering programme teaches these techniques in depth.