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  • AI Chat Tools
    • ChatGPT - OpenAI
      • Start with ChatGPT
      • Account Settings
      • ChatGPT Free Plan
      • ChatGPT Account Settings
    • Claude - Anthropic
      • Signup for Claude
      • User Interface
    • Gemini - Google
  • AI Concepts
    • Context
    • Tokenization
    • Prompt Engineering
    • Temperature
    • Max Tokens
    • Fine-Tuning
    • System Prompt
    • Persona
    • Memory
    • Hallucination
    • Model Bias
    • Embedding
    • Latency
    • User Intent
    • Multimodal AI
    • Safety Layers
    • Chain of Thought
    • Prompt Templates
    • Retrieval-Augmented Generation (RAG)
  • Introduction to Prompting
    • Beginner's Prompting Strategies
      • Understanding the Purpose of a Prompt
      • Be Specific and Clear
      • Using Contextual Information
      • Direct vs. Open-Ended Prompts
      • Step-by-Step Instructions
      • Role-Based Prompts
      • Sequential Prompts
      • Multi-Step Questions
      • Incorporating Examples
    • Common Prompting Mistakes to Avoid
      • Being Too Vague or Ambiguous
      • Overloading with Multiple Questions
      • Ignoring Context Limitations
      • Not Specifying the Desired Output
      • Lack of Iteration and Refinement
      • Neglecting to Set the Right Tone or Role
      • Using Jargon or Complex Language Unnecessarily
      • Ignoring Feedback from the AI
      • Overly Long or Short Prompts
      • Page 6
      • Page 5
      • Page 4
      • Page 3
      • Page 2
      • Page 1
    • Output Formatting Techniques
      • Using Headings and Subheadings
      • Bulleted and Numbered Lists
      • Paragraph Structure
      • Tables and Charts
      • Direct Answers vs. Detailed Explanations
      • Incorporating Summaries and Conclusions
    • Leveraging Formatting for Clarity
      • Highlighting Key Points
      • Guiding the AI on Tone and Style
      • Requesting Examples or Case Studies
      • Formatting for Different Audiences
      • Using Questions to Clarify Information
      • Prompting for Step-by-Step Guides
      • Customizing Responses for Presentation or Reports
      • Avoiding Over-Complicated Formatting
  • Types of Prompts
    • Direct Prompts
    • Instructional Prompts
    • Conversational Prompts
    • Contextual Prompts
    • Example-Based Prompts
    • Reflective or Feedback Prompts
    • Multi-Step Prompts
    • Open-Ended Prompts
    • Role-Based Prompts
    • Comparative Prompts
    • Conditional Prompts
    • Summarization prompts
    • Exploratory Prompts
    • Problem-Solving Prompts
    • Clarification Prompts
    • Sequential Prompts
    • Hypothetical Prompts
    • Ethical or Judgment-Based Prompts
    • Diagnostic Prompts
    • Instructional design prompts
    • Page 8
    • Page 7
  • Advanced Prompting Techniques
    • Zero-Shot
    • Few-Shot
    • Chain-of-Thought
    • Meta Prompting
    • Self-Consistency
    • Generated Knowledge
    • Prompt Chaining
    • Tree of Thoughts (ToT)
    • Retrieval-Augmented Generation (RAG)
    • Automatic Prompt Engineer (APE)
    • Active Prompt
    • Directional Stimulus
  • Live Examples
    • Legal
      • Non-Disclosure Agreement (NDA)
      • Employment Contract
      • Lease Agreement
      • Service Agreement
      • Sales Agreement
    • Zero-Shot Prompting
    • Few-Shot Prompting
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  1. AI Concepts

Prompt Engineering

Prompt engineering involves crafting precise and effective instructions to guide AI models in generating desired outputs. A well-constructed prompt sets clear expectations and reduces ambiguity, leading to higher-quality responses. For instance, instead of asking, “Tell me about AI,” a prompt like “Provide a brief overview of artificial intelligence, including its key applications in healthcare and education,” results in a more targeted answer.

Effective prompt engineering requires an understanding of the AI’s capabilities and limitations. Techniques such as few-shot learning, where examples are included in the prompt, help the model understand complex tasks. Iterative refinement is often necessary to perfect prompts for specific use cases, such as creative writing, coding assistance, or customer service. In professional settings, prompt templates streamline this process, ensuring consistency and efficiency.

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Last updated 5 months ago