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Prompt Engineering

Prompt Engineering is the technical discipline that studies how to design, optimize, and structure instructions (prompts) for language models in order to obtain the highest quality output for a given objective. It is a skill that combines elements of linguistics, cognitive psychology, knowledge of AI models, and systematic thinking.

Definition

Prompt Engineering includes techniques like Role Assignment, Chain of Thought, Few-shot prompting, RAG, context window management, token optimization, System Prompt structuring, and many others.

How it's used in Grace

Grace is, at its core, an academy of applied Prompt Engineering. Every scenario is a real case where you apply prompt engineering techniques: assigning the right role, providing the right context, defining the objective precisely, setting appropriate constraints, choosing the optimal format, profiling the audience and optimizing tokens.

Related terms

• Prompting
• Prompt
• Role Assignment
• Chain of Thought
• Few-shot

More in Prompting

• Prompt
• Prompting
• Role Assignment
• Zero-shot
• Few-shot
• Chain of Thought
• Output Format
• Audience (in prompting)

Put it into practice

• Real scenario: apply this concept with an instant AI verdict.
• Daily gym: short drills to train dictionary concepts.
• Playoff game: challenge other players, elimination-style.

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Grace Certified, the AI coach that trains and certifies your prompt engineering, by Agora Intelligence.