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

My Use Cases #

1. Summarizing Video or Article Content

• Use https://downsub.com for video subtitles and https://chatgptsplitter.com/ for text
• Ask GPT-4 to summarize content in bullet points and elaborate on each point in detail
• For GPT-3.5, the chunk size is 1500. For GPT-4.0, it is 15000

2. 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

3. Memorization Techniques Using Visual Mnemonics

• Ask GPT-4 for visual memory techniques suggestions to remember specific phrases or names

4. Rewriting Emails or Paragraphs

• Use GPT-4 to rewrite and improve structure, clarity, and tone of emails or paragraphs

5. 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

6. Learning Code

• Provide code to GPT-4
• Request an explanation

7. Requesting Code Templates

Tips for Using GPT-4 Effectively #

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 #

• Best practices for prompt engineering with OpenAI API

Useful links #

• Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the Future of AI -

Known Issues #

• 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.