ปลดล็อคศักยภาพเอไอด้วย - 6 Actions Types Prompt - EP2 | Prompt Engineering

Introduction

In this tutorial, we will explore the final three action types from a series on prompt engineering, particularly focused on enhancing your skills in crafting effective prompts for AI applications. These action types include Organizational Actions, Transformative Actions, and Predictive Actions. By the end, you'll understand how to categorize data, convert file formats, and project future trends using AI tools.

Step 1: Understand Organizational Actions

Organizational Actions focus on structuring information effectively. There are four main sub-categories:

1. Classification

   • Group items based on specific criteria.
   • Common verbs: classify, categorize, group.

2. Sequencing

   • Arrange items in a specific order.
   • Common verbs: organize, arrange, sequence.

3. Prioritization

   • Rank items based on importance.
   • Common verbs: prioritize, rank, order.

4. Structuring

   • Create a framework for information or documents.
   • Common verbs: structure, sort, list.

Practical Tip

When using these actions, ensure you define clear criteria for classification and prioritization to maintain clarity.

Step 2: Categorize Data

To demonstrate categorization, we will use a dataset of Netflix movies.

1. Download the Dataset

   • Visit Kaggle to find a popular dataset (e.g., Netflix Movies).
   • Download the dataset in CSV format.

2. Upload and Analyze the Data

   • Use Python to upload the CSV file.
   • Implement an exploratory data analysis (EDA) to understand the dataset structure.

3. Create Categories

   • Use Python to categorize movies into Fiction and Non-Fiction.
   • Example code snippet:

   # Sample code to categorize movies
   def categorize_movies(data)
       data['Category'] = data['Type'].apply(lambda x: 'Fiction' if x == 'Fiction' else 'Non-Fiction')
   

4. Analyze the Results

   • Review the distribution of the categories created.

Step 3: Convert File Formats

Transformative Actions allow you to change the format of files or data. Here’s how to convert file types effectively.

1. Identify the Conversion Task

   • Choose a file to convert, such as WAV to MP3 or PDF to DOCX.

2. Using AI to Convert Files

   • Open a platform like ChatGPT to assist with the conversion.
   • Example prompt to convert files:

   Convert the file from WAV to MP3 format.
   

3. Download and Verify the Converted File

   • Check the output file to ensure the conversion was successful.

Common Pitfall

Large files may cause errors during conversion. Always use smaller files for testing.

Step 4: Project Future Trends

Predictive Actions help in forecasting trends based on historical data.

1. Select a Dataset for Projection

   • For example, download a dataset related to world population from Kaggle.

2. Analyze the Data

   • Upload the dataset and use Python to analyze it.
   • Example code to project future population:

   # Sample code to project future population
   def project_population(data, year)
       growth_rate = data['Growth Rate'].mean()
       projected_population = data['Population'].iloc[-1] * (1 + growth_rate) ** (year - data['Year'].iloc[-1])
       return projected_population
   

3. Visualize Trends

   • Use graphs to visualize projected population growth for the year 2050.

Practical Tip

Always validate your projections with multiple scenarios to ensure accuracy.

Conclusion

In this tutorial, we've covered the essential action types for prompt engineering, including how to categorize data, convert file formats, and project future trends using AI tools. These skills can significantly improve your ability to interact with and utilize AI effectively. Consider practicing these techniques with real datasets to solidify your understanding and enhance your prompt crafting skills.