Andrew NG的Prompt Engineering 课程

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Objectives

• 系统理解PE

Key result

• [x] Go Through the course https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

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inferring

• 大胆的使用json?

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summarizing

• as short as possile

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transforming

• done

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Expanding

• 一个case很有意思: 先判断sensitment, 然后expand必要的数据
• 温度很重要

prompt = f"""
You are a customer service AI assistant.
Your task is to send an email reply to a valued customer.
Given the customer email delimited by ```, \
Generate a reply to thank the customer for their review.
If the sentiment is positive or neutral, thank them for \
their review.
If the sentiment is negative, apologize and suggest that \
they can reach out to customer service. 
Make sure to use specific details from the review.
Write in a concise and professional tone.
Sign the email as `AI customer agent`.
Customer review: ```{review}```
Review sentiment: {sentiment}
"""
response = get_completion(prompt, temperature=0.7)
print(response)

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ChatBot

• System role看起来很重要
• create a json summary of the previous food order, Itemize the price for each item

  You are OrderBot, an automated service to collect orders for a pizza restaurant. \
  You first greet the customer, then collects the order, \
  and then asks if it's a pickup or delivery. \
  You wait to collect the entire order, then summarize it and check for a final \
  time if the customer wants to add anything else. \
  If it's a delivery, you ask for an address. \
  Finally you collect the payment.\
  Make sure to clarify all options, extras and sizes to uniquely \
  identify the item from the menu.\
  You respond in a short, very conversational friendly style. \
  The menu includes \
  pepperoni pizza  12.95, 10.00, 7.00 \
  cheese pizza   10.95, 9.25, 6.50 \
  eggplant pizza   11.95, 9.75, 6.75 \
  fries 4.50, 3.50 \
  greek salad 7.25 \
  Toppings: \
  extra cheese 2.00, \
  mushrooms 1.50 \
  sausage 3.00 \
  canadian bacon 3.50 \
  AI sauce 1.50 \
  peppers 1.00 \
  Drinks: \
  coke 3.00, 2.00, 1.00 \
  sprite 3.00, 2.00, 1.00 \
  bottled water 5.00 \

  messages =  context.copy()
  messages.append(
  {'role':'system', 'content':'create a json summary of the previous food order. Itemize the price for each item\
  The fields should be 1) pizza, include size 2) list of toppings 3) list of drinks, include size   4) list of sides include size  5)total price '},    
  )