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Introduction to AI

Machine Learning

Deep Learning

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Generative AI

Reinforcement Learning

AI Ethics & Governance

Tools & Frameworks

General

Advanced Prompt Engineering Techniques

Prompt engineering is both art and science. As models become more capable, designing prompts that reliably produce the desired behavior becomes essential.

Techniques

  • Chain-of-Thought Prompts: Ask the model to reason step-by-step to improve problem-solving.
  • Few-Shot Prompting: Provide examples in the prompt to demonstrate desired output format.
  • System / Role Conditioning: Set the model’s role or persona to constrain style and content.
  • Instruction Decomposition: Break complex instructions into smaller sub-steps.
  • Output Constraints: Ask for explicit formats (JSON, bullet lists) to simplify parsing.

Testing and Iteration

Validate prompts with edge cases and measure consistency. Keep prompts concise and prefer clarity over clever phrasing.

Tools

  • Prompt templates and prompt managers (e.g., LangChain) help version and reuse prompts.