mirror of
https://github.com/dair-ai/Prompt-Engineering-Guide
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117 lines
4.7 KiB
Plaintext
117 lines
4.7 KiB
Plaintext
# PAL (Program-Aided Language Models)
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import { Callout, FileTree } from 'nextra-theme-docs'
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import {Screenshot} from 'components/screenshot'
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import PAL from '../../img/pal.png'
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[Gao et al., (2022)](https://arxiv.org/abs/2211.10435) presents a method that uses LLMs to read natural language problems and generate programs as the intermediate reasoning steps. Coined, program-aided language models (PAL), it differs from chain-of-thought prompting in that instead of using free-form text to obtain solution it offloads the solution step to a programmatic runtime such as a Python interpreter.
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<Screenshot src={PAL} alt="PAL" />
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Image Source: [Gao et al., (2022)](https://arxiv.org/abs/2211.10435)
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Let's look at an example using LangChain and OpenAI GPT-3. We are interested to develop a simple application that's able to interpret the question being asked and provide an answer by leveraging the Python interpreter.
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Specifically, we are interested to create a functionality that allows the use of the LLM to answer questions that require date understanding. We will provide the LLM a prompt that includes a few exemplars which are adopted from [here](https://github.com/reasoning-machines/pal/blob/main/pal/prompt/date_understanding_prompt.py).
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These are the imports we need:
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```python
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import openai
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from datetime import datetime
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from dateutil.relativedelta import relativedelta
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import os
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from langchain.llms import OpenAI
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from dotenv import load_dotenv
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```
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Let's first configure a few things:
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```python
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load_dotenv()
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# API configuration
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openai.api_key = os.getenv("OPENAI_API_KEY")
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# for LangChain
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os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
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```
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Setup model instance:
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```python
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llm = OpenAI(model_name='text-davinci-003', temperature=0)
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```
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Setup prompt + question:
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```python
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question = "Today is 27 February 2023. I was born exactly 25 years ago. What is the date I was born in MM/DD/YYYY?"
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DATE_UNDERSTANDING_PROMPT = """
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# Q: 2015 is coming in 36 hours. What is the date one week from today in MM/DD/YYYY?
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# If 2015 is coming in 36 hours, then today is 36 hours before.
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today = datetime(2015, 1, 1) - relativedelta(hours=36)
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# One week from today,
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one_week_from_today = today + relativedelta(weeks=1)
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# The answer formatted with %m/%d/%Y is
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one_week_from_today.strftime('%m/%d/%Y')
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# Q: The first day of 2019 is a Tuesday, and today is the first Monday of 2019. What is the date today in MM/DD/YYYY?
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# If the first day of 2019 is a Tuesday, and today is the first Monday of 2019, then today is 6 days later.
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today = datetime(2019, 1, 1) + relativedelta(days=6)
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# The answer formatted with %m/%d/%Y is
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today.strftime('%m/%d/%Y')
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# Q: The concert was scheduled to be on 06/01/1943, but was delayed by one day to today. What is the date 10 days ago in MM/DD/YYYY?
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# If the concert was scheduled to be on 06/01/1943, but was delayed by one day to today, then today is one day later.
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today = datetime(1943, 6, 1) + relativedelta(days=1)
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# 10 days ago,
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ten_days_ago = today - relativedelta(days=10)
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# The answer formatted with %m/%d/%Y is
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ten_days_ago.strftime('%m/%d/%Y')
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# Q: It is 4/19/1969 today. What is the date 24 hours later in MM/DD/YYYY?
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# It is 4/19/1969 today.
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today = datetime(1969, 4, 19)
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# 24 hours later,
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later = today + relativedelta(hours=24)
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# The answer formatted with %m/%d/%Y is
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today.strftime('%m/%d/%Y')
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# Q: Jane thought today is 3/11/2002, but today is in fact Mar 12, which is 1 day later. What is the date 24 hours later in MM/DD/YYYY?
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# If Jane thought today is 3/11/2002, but today is in fact Mar 12, then today is 3/12/2002.
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today = datetime(2002, 3, 12)
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# 24 hours later,
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later = today + relativedelta(hours=24)
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# The answer formatted with %m/%d/%Y is
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later.strftime('%m/%d/%Y')
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# Q: Jane was born on the last day of Feburary in 2001. Today is her 16-year-old birthday. What is the date yesterday in MM/DD/YYYY?
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# If Jane was born on the last day of Feburary in 2001 and today is her 16-year-old birthday, then today is 16 years later.
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today = datetime(2001, 2, 28) + relativedelta(years=16)
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# Yesterday,
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yesterday = today - relativedelta(days=1)
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# The answer formatted with %m/%d/%Y is
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yesterday.strftime('%m/%d/%Y')
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# Q: {question}
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""".strip() + '\n'
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```
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```python
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llm_out = llm(DATE_UNDERSTANDING_PROMPT.format(question=question))
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print(llm_out)
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```
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This will output the following:
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```
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# If today is 27 February 2023 and I was born exactly 25 years ago, then I was born 25 years before.
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today = datetime(2023, 2, 27)
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# I was born 25 years before,
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born = today - relativedelta(years=25)
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# The answer formatted with %m/%d/%Y is
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born.strftime('%m/%d/%Y')
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```
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The contents of `llm_out` are a Python code snippet. Below, the `exec` command is used to execute this Python code snippet.
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```python
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exec(llm_out)
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print(born)
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```
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This will output the following: `02/27/1998`
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