Input-output examples for code generation
You work as a project manager and need to estimate the time it will take to complete different projects. Your task is to develop a Python function that can predict the estimated completion time for a project based on historical data. You are given a set of examples in the examples string where different factors are associated with project completion time. Each example includes the factors' numerical values and the corresponding estimated completion time.
The OpenAI package and the get_response() function have been pre-loaded for you, as well as the examples string.
This exercise is part of the course
Prompt Engineering with the OpenAI API
Exercise instructions
- Craft a prompt that asks the model to infer the Python function that maps the inputs to the outputs in the provided
examples.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
client = OpenAI(api_key="")
examples="""input = [10, 5, 8] -> output = 23
input = [5, 2, 4] -> output = 11
input = [2, 1, 3] -> output = 6
input = [8, 4, 6] -> output = 18
"""
# Craft a prompt that asks the model for the function
prompt = ____
response = get_response(prompt)
print(response)