提示词工程手册课程课程服务服务关于关于
GitHubGitHub (opens in a new tab)DiscordDiscord (opens in a new tab)
  • 提示词工程手册
  • 简介
    • 大语言模型设置
    • 提示词基础
    • 提示词要素
    • 一般性建议
    • 示例
  • 技术
    • 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
    • Multimodal CoT
    • Graph Prompting
  • 应用
    • Function Calling
    • Generating Data
    • Generating Synthetic Dataset for RAG
    • Tackling Generated Datasets Diversity
    • Generating Code
    • Graduate Job Classification Case Study
    • Prompt Function
  • 提示词
    • 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
  • 模型
    • ChatGPT
    • Code Llama
    • Flan
    • Gemini
    • Gemini Advanced
    • GPT-4
    • LLaMA
    • Mistral 7B
    • Mixtral
    • OLMo
    • Phi-2
    • Sora
    • LLM Collection
  • 风险
    • Adversarial Prompting
    • Factuality
    • Biases
  • 研究
    • LLM Agents
    • RAG for LLMs
    • Trustworthiness in LLMs
  • 论文
  • 工具
  • 笔记
  • 数据
  • 阅读
Question? Give us feedback → (opens in a new tab)Edit this page
提示词
Classification

LLMs for Classification

This section contains a collection of prompts for testing the test classification capabilities of LLMs.

提示词Sentiment Classification