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Maximizing Productivity and Learning with GPT-4: Use Cases and Best Practices

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ai chatgpt openai prompt
Hugo
Author
Hugo
DevOps Engineer in London
Table of Contents

My Use Cases
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  1. Summarizing Video or Article Content
  1. Preparing Open-Ended Questions and Lab Exercises for Revision
  • Provide notes to GPT-4
  • Request generation of open-ended questions and lab exercises for revision and deeper understanding
  1. Memorization Techniques Using Visual Mnemonics
  • Ask GPT-4 for visual memory techniques suggestions to remember specific phrases or names
  1. Rewriting Emails or Paragraphs
  • Use GPT-4 to rewrite and improve structure, clarity, and tone of emails or paragraphs
  1. SEO Suggestions for Meta Description, Title, and Tags
  • Request GPT-4’s assistance in generating optimized meta descriptions, titles, and tags for improved search engine visibility
  1. Learning Code
  • Provide code to GPT-4
  • Request an explanation
  1. Requesting Code Templates

Tips for Using GPT-4 Effectively
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If the answer is not relevant:

  • Regenerate the result
  • Edit the prompt for specificity or clarity
  • Start a new chat to reset context

Best practices
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Useful links#

Known Issues
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  • Unreliable answers when out of token window or lacking data
  • Verification of results needed
  • Inability to reply in markdown format
    • We can ask GPT to output in code block format for copying.