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  • Prompt Engineering
  • Introduction
    • LLM 설정
    • 프롬프트의 기초
    • 프롬프트의 구성 요소
    • 프롬프트 설계에 관한 일반적인 팁
    • 프롬프트 예시
  • Techniques
    • Zero-shot Prompting
    • Few-shot Prompting
    • Chain-of-Thought Prompting
    • Self-Consistency
    • Generate Knowledge Prompting
    • Prompt Chaining
    • Tree of Thoughts
    • Retrieval Augmented Generation
    • Automatic Reasoning and Tool-use
    • Automatic Prompt Engineer
    • Active-Prompt
    • Directional Stimulus Prompting
    • Program-Aided Language Models
    • ReAct
    • Reflexion
    • Multimodal CoT
    • Graph Prompting
    • meta-prompting
  • Applications
    • 데이터 생성
    • 코드 생성
    • 학위가 필요한 직업을 분류한 사례 연구
    • 프롬프트 함수
    • Function Calling
    • context-caching
    • finetuning-gpt4o
    • generating_textbooks
    • synthetic_rag
  • Prompt Hub
    • Classification
      • Sentiment Classification
      • Few-Shot Sentiment Classification
    • Coding
      • Generate Code Snippet
      • Generate MySQL Query
      • Draw TiKZ Diagram
    • Creativity
      • Rhymes
      • Infinite Primes
      • Interdisciplinary
      • Inventing New Words
    • Evaluation
      • Evaluate Plato's Dialogue
    • Information Extraction
      • Extract Model Names
    • Image Generation
      • Draw a Person Using Alphabet
    • Mathematics
      • Evaluating Composite Functions
      • Adding Odd Numbers
    • Question Answering
      • Closed Domain Question Answering
      • Open Domain Question Answering
      • Science Question Answering
    • Reasoning
      • Indirect Reasoning
      • Physical Reasoning
    • Text Summarization
      • Explain A Concept
    • Truthfulness
      • Hallucination Identification
    • Adversarial Prompting
      • Prompt Injection
      • Prompt Leaking
      • Jailbreaking
  • Models
    • Flan
    • ChatGPT
    • LLaMA
    • GPT-4
    • Mistral 7B
    • Gemini
    • Gemini Advanced
    • Gemini 1.5 Pro
    • Phi-2
    • Mixtral
    • Code Llama
    • OLMo
    • Sora
    • Model Collection
    • claude-3
    • gemma
    • grok-1
    • llama-3
    • mistral-large
    • mixtral-8x22b
  • Risks & Misuses
    • 적대적 프롬프팅
    • 사실성
    • 편향
  • LLM Research Findings
    • LLM Agents
    • RAG for LLMs
    • Trustworthiness in LLMs
    • groq
    • guided-cot
    • infini-attention
    • llm-reasoning
    • llm-recall
    • llm-tokenization
    • rag-faithfulness
    • rag_hallucinations
    • synthetic_data
    • thoughtsculpt
  • Papers
  • Tools
  • Notebooks
  • Datasets
  • Additional Readings
    • Optimizing Prompts
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Techniques
Graph Prompting

GraphPrompts

Liu et al., 2023 (opens in a new tab)에서는 다운스트림 작업의 성능을 개선하기 위해 그래프를 위한 새로운 프롬프팅 프레임워크인 GraphPrompt를 소개합니다.

더 많은 예제가 곧 추가될 예정입니다!

Multimodal CoTmeta-prompting
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