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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. Introduction to Prompting
  2. Common Prompting Mistakes to Avoid

Ignoring Feedback from the AI

AI responses often contain clues about what the AI understood well and where it may have misinterpreted. If the output isn’t what you expected, use that feedback to adjust your prompt. For example, if the AI’s response is off-topic, consider rephrasing or adding context to guide it back on track. Treating the interaction as a conversation where adjustments are made based on feedback helps you refine prompts effectively.

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Last updated 3 months ago