deeplearning.ai ChatGPT Prompt Engineering for Developers Course notes
deeplearning.ai ChatGPT Prompt Engineering for Developers Course notes
see https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/5/inferring
setup python environment
import openai
import os
from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv()) # read local .env file
openai.api_key = os.getenv('OPENAI_API_KEY')
def get_completion(prompt, model="gpt-3.5-turbo"):
messages = [{"role": "user", "content": prompt}]
response = openai.ChatCompletion.create(
model=model,
messages=messages,
temperature=0, # this is the degree of randomness of the model's output
)
return response.choices[0].message["content"]
setup the data
lamp_review = """
Needed a nice lamp for my bedroom, and this one had \
additional storage and not too high of a price point. \
Got it fast. The string to our lamp broke during the \
transit and the company happily sent over a new one. \
Came within a few days as well. It was easy to put \
together. I had a missing part, so I contacted their \
support and they very quickly got me the missing piece! \
Lumina seems to me to be a great company that cares \
about their customers and products!!
"""
create a prompt
describe to chatgpt what output is desired from the review data
prompt = f"""
Give a one sentence response.
First, identify the product being reviewed delimited with triple backticks.
Based on what you identified, what is the primary purpose of the product.
Review text: '''{lamp_review}'''
"""
response = get_completion(prompt)
print(response)
The output from ChatGPT
Product: Lamp with additional storage.
Primary purpose: To provide lighting and storage in a bedroom.
more prompts and output
prompt = f"""
First, identify the product being reviewed delimited with triple backticks.
Based on what you identified, List the adjectives used to describe the product.
Review text: '''{lamp_review}'''
"""
response = get_completion(prompt)
print(response)
The output from ChatGPT
Product being reviewed: lamp
Adjectives used to describe the product: nice, additional, not too high, fast, easy, missing, great, cares
prompt = f"""
In the text delimited with triple backticks.
List out the nouns in JSON format
Review text: '''{lamp_review}'''
"""
response = get_completion(prompt)
print(response)
The output from ChatGPT
[“lamp”, “bedroom”, “storage”, “price point”, “string”, “transit”, “company”, “new one”, “days”, “missing part”, “support”, “missing piece”, “Lumina”, “company”, “customers”, “products”]
prompt = f"""
In the text delimited with triple backticks.
Map out the nouns as keys and adjectives used on the specific noun as a list for the values in JSON format
text: '''{lamp_review}'''
"""
response = get_completion(prompt)
print(response)
The output from ChatGPT
{ “lamp”: [“nice”, “additional”, “not too high”, “new”, “easy”, “missing”, “great”], “bedroom”: [“nice”], “storage”: [“additional”], “price point”: [“not too high”], “string”: [“new”], “transit”: [“during”], “company”: [“happily”, “new”, “great”], “days”: [“few”], “support”: [“missing”, “very quickly”], “piece”: [“missing”], “Lumina”: [“great”, “cares”], “customers”: [“great”], “products”: [“great”] } ——————————-
prompt = f"""
In the text delimited with triple backticks.
In the sentence 'It was easy to put together.'
Indicate the subject in each sentence.
text: '''{lamp_review}'''
"""
response = get_completion(prompt)
print(response)
The output from ChatGPT
The subject in each sentence is as follows:
- Needed a nice lamp for my bedroom
- this one
- The string to our lamp
- the company
- It
- I
- their support
-
Lumina
``` prompt = f”””
In the text delimited with triple backticks. In the sentence ‘It was easy to put together.’ What does ‘It’ refer to. text: ‘’‘{lamp_review}’’’
””” response = get_completion(prompt) print(response)
The output from ChatGPT
In the sentence 'It was easy to put together.', 'It' refers to the lamp mentioned earlier in the text.
-------------------------------
prompt = f”””
In the text delimited with triple backticks. Rewrite the text convting pronouns to the referenced noun. text: ‘’‘{lamp_review}’’’
””” response = get_completion(prompt) print(response)
The output from ChatGPT
I needed a nice lamp for my bedroom, and the lamp had additional storage and not too high of a price point. I got the lamp fast. The string to the lamp broke during the transit and Lumina happily sent over a new string. The new string came within a few days as well. The lamp was easy to put together. I had a missing part, so I contacted Lumina's support and Lumina very quickly got me the missing piece! Lumina seems to me to be a great company that cares about its customers and products!!
-------------------------------
prompt = f”””
In the text delimited with triple backticks. Rewrite the text convting references to the writer to “Willy” and other pronouns to the referenced noun. text: ‘’‘{lamp_review}’’’
””” response = get_completion(prompt) print(response) ``` The output from ChatGPT