Principle 1: Write clear and specific instructions
- 使用明确的分隔符，是LLM知道这个某个单独的字段。
前提设置：
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"]
Tactic 1: Use delimiters to clearly indicate distinct parts of the input
text = f""" You should express what you want a model to do by \ providing instructions that are as clear and \ specific as you can possibly make them. \ This will guide the model towards the desired output, \ and reduce the chances of receiving irrelevant \ or incorrect responses. Don't confuse writing a \ clear prompt with writing a short prompt. \ In many cases, longer prompts provide more clarity \ and context for the model, which can lead to \ more detailed and relevant outputs. """
prompt = f""" Summarize the text delimited by triple backticks \ into a single sentence. ```{
text}``` """
response = get_completion(prompt)
print(response)
Tactic 2: Ask for a structured output
可以使用一些格式化的输出。
prompt = f""" Generate a list of three made-up book titles along \ with their authors and genres. Provide them in JSON format with the following keys: book_id, title, author, genre. """
response = get_completion(prompt)
print(response)
Tactic 3: Ask the model to check whether conditions are satisfied
text_1 = f""" Making a cup of tea is easy! First, you need to get some \ water boiling. While that's happening, \ grab a cup and put a tea bag in it. Once the water is \ hot enough, just pour it over the tea bag. \ Let it sit for a bit so the tea can steep. After a \ few minutes, take out the tea bag. If you \ like, you can add some sugar or milk to taste. \ And that's it! You've got yourself a delicious \ cup of tea to enjoy. """
prompt = f""" You will be provided with text delimited by triple quotes. If it contains a sequence of instructions, \ re-write those instructions in the following format: Step 1 - ... Step 2 - … … Step N - … If the text does not contain a sequence of instructions, \ then simply write \"No steps provided.\" \"\"\"{
text_1}\"\"\" """
response = get_completion(prompt)
print("Completion for Text 1:")
print(response)
Tactic 4: “Few-shot” prompting
prompt = f""" Your task is to answer in a consistent style. <child>: Teach me about patience. <grandparent>: The river that carves the deepest \ valley flows from a modest spring; the \ grandest symphony originates from a single note; \ the most intricate tapestry begins with a solitary thread. <child>: Teach me about resilience. """
response = get_completion(prompt)
print(response)
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