ChatGPT Prompt Engineering for Developers

This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including:

• Summarizing (e.g., summarizing user reviews for brevity)
• Inferring (e.g., sentiment classification, topic extraction)
• Transforming text (e.g., translation, spelling & grammar correction)
• Expanding (e.g., automatically writing emails)

The course is available here: ChatGPT Prompt Engineering for Developers

Running ChatGPT for Free on Google Colab

Steps:

1. Join Discord.com
2. Join the Discord channel Pawan.Krd
3. Get your Own FREE API Key for the Models

• Go to ⁠🤖 [Bot]
  
• Then, write the /key command.
  
• It will give you your own key, make sure to not share it with anyone.
  

7. Click on the Key icon in Google Colab right side.
8. Click on "+ Add new secret".
9. Add name "API_KEY"
10. Add value "key obtained in step 6"
Note: This method allows you to run the model for free on Google Colab with a daily limit.
Note: If you Discord account is new, you may need to wait for some time before you can get the key.
Note: You will need to grant access to the Google Colab notebook to access the API key.
Note: You will need to accept that the code was not written by Google.
Note: if you get an error about invalid API key, got the the Discord [Bot] and execute the command /resetip

Notebooks

• I2-guidelines.ipynb:
• l3-iterative-prompt-development.ipynb:
• l4-summarizing.ipynb:
• l5-inferring-corrected-alejandro.ipynb:
• l6-transforming.ipynb:
• l7-expanding.ipynb:
• l8-chatbot.ipynb:

Slides

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