Sanyanggae LogoSanyanggae
💻IT & 소프트웨어 엔지니어링✓ 검증 완료: 전문 연구진 감수

Mastering LLM Prompt Engineering Architecture: 5 Core Design Patterns

A deep architectural dive into Chain-of-Thought, Few-Shot prompting, Role-Task-Format, and system delimiter security.

S

사냥개

사냥개 IT & 소프트웨어 아키텍처 연구팀

📅 2026-08-04⏱️ 16 min read
Mastering LLM Prompt Engineering Architecture: 5 Core Design Patterns
In the era of Generative AI, prompt engineering is the art and science of converting natural language intents into deterministic LLM architectures.


1. The RTF (Role - Task - Format) Framework

Instead of asking vague questions, define explicit roles and format constraints:

  • Role: You are a Principal Systems Architect specializing in web performance.
  • Task: Compare Astro.js SSG vs Next.js SSR for high-traffic media portals.
  • Format: Provide a markdown comparison table followed by a TypeScript state management snippet.

  • 2. Chain-of-Thought (CoT) Prompting

    Instructing the model to "think step by step" forces intermediate reasoning steps, dramatically reducing hallucination in logical tasks.

    태그:#AI#프롬프트엔지니어링#LLM#ChatGPT#인공지능#생성형AI#프롬프트디자인
    💻

    사냥개 IT & 소프트웨어 아키텍처 연구팀

    인증 필진

    최신 LLM AI 에이전트, 프론트엔드 렌더링, 웹 보안 및 클라우드 시스템을 심층 연구합니다.

    ✓ 최신 학술·임상 자료 기반✓ 사실 검증 및 에디토리얼 감수© 사냥개 지식연구소

    📚 관련 심층 지식 아티클

    전체보기 →