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This project includes a multitude of minor ChatGPT application use cases. In each file, you can submit and utilize use case descriptions. We also suggest that you investigate the "ChatGPT Prompt Engineering for Developers" program by DeepLearning.ai.

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PromptEngineering

This project includes a multitude of minor ChatGPT application use cases. In each file, you can submit and utilize use case descriptions. We also suggest that you investigate the "ChatGPT Prompt Engineering for Developers" program by DeepLearning.ai.

Setup

  1. Install the latest Python version
  2. Install the OpenAI Python library, run the below command in your terminal:
!pip install openai
  1. Set OPENAI_API_KEY variable with your OpenAI account key, which is available on the OpenAI Account Page 3.1) You can either set it as the OPENAI_API_KEY environment variable before using the library as
!export OPENAI_API_KEY='sk-...'

3.2) Or, set openai.api_key inside the python file to its value:

openai.api_key = "sk-..."
  1. Clone the respository and run each file. Feel free to edit ad iterate the prompts

List of Files inside the projects

File Name Objective README
CustomerServiceAIAssistant.py TBD [plugins/dropbox/README.md][PlDb]
TourPlanningAIAssistant.py TBD [plugins/dropbox/README.md][PlDb]

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This project includes a multitude of minor ChatGPT application use cases. In each file, you can submit and utilize use case descriptions. We also suggest that you investigate the "ChatGPT Prompt Engineering for Developers" program by DeepLearning.ai.

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