[Projeto] Making Prompt of Prompt

TEXTO VISANDO UMA REVISTA CIENTIFICA INTERNACIONAL PARTE II

Want to practice crafting some prompts together? I'd love to brainstorm!

Absolutely! Here are some effective prompt examples, tailored to different goals, inspired by the context of your course:

1. Organizing Your Study Routine
Create a study schedule tailored to my interests in programming and data science, balancing video lessons, hands-on projects, and exercises. 
Suggest time slots for each activity and prioritize based on impact.

2. Technical Interview Simulation:
Simulate a technical interview for a web developer role, focusing on JavaScript, React, and APIs. Ask 5 challenging questions, evaluate my answers, and provide feedback for improvement.






3. Quiz for Course Review:
Generate a 10-question multiple-choice quiz about the main concepts of prompt engineering. Include answer explanations to reinforce learning after each question.

4. Daily Planning
Plan a productive day for me, including work tasks, breaks, and leisure activities. 
Suggest a timeline that promotes focus and well-being.

 5. Creative Writing Inspiration
Help me brainstorm ideas for a short story about an AI assistant that learns from its human companion to solve a global problem. 
Provide three unique plot possibilities and highlight potential character development arcs.

6. Project Idea Generation
Suggest three beginner-friendly coding project ideas that incorporate Python and machine learning. Include a brief description of the skills each project will help me build

The principles of:
clarity, 
specificity, 
relevance makes these prompts effective. 
The idea is to give the AI clear instructions while leaving room for some creativity. 

Would you like to build on any of these examples or adapt them to a particular need?

Here are five major causes of ineffective prompts and how to address them:

1. Lack of Clarity
   - Cause: Vague or ambiguous language that confuses the AI about your expectations.
   - Solution: Use clear and specific instructions with concise language to define your goals.

2.Overgeneralization
   - Cause: Broad prompts that result in generic and unfocused responses.
 - Solution: Narrow the scope by including context, constraints, or examples to guide the response.

3. Insufficient Context
   - Cause: Missing background information or details necessary for the AI to generate relevant outputs.
   - Solution: Provide additional context, such as the target audience, purpose, or tone you want.

4. Ignoring Iteration
   - Cause: Using unrefined prompts without testing or adjusting them.
   - Solution: Experiment with variations, review results, and refine until you achieve the desired outcome.

5. Overloading with Details
   - Cause: Including excessive or irrelevant information that overwhelms the AI.
   - Solution: Focus on the essential elements and remove extraneous details to streamline the prompt.
By addressing these common pitfalls, you can consistently create prompts that yield effective and purposeful results. 
Would you like help improving a specific prompt you're working on?