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prompts/LLM_Math/README.md

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+
+---
+tags:
+- langchain
+- prompt
+---
+
+# Description of LLM Math
+
+Prompt designed to optionally output iPython syntax to be run in order to better answer math questions.
+
+## Inputs
+
+This is a description of the inputs that the prompt expects.
+
+question: User question to be answered.
+
+## Usage
+
+Below is a code snippet for how to use the prompt.
+
+```
+from langchain.prompts import load_prompt
+from langchain.chains import LLMMathChain
+
+llm = ...
+prompt = load_prompt('lc://prompts/llm_math/<file-name>')
+chain = LLMMathChain(llm=llm, prompt=prompt)
+```
+

prompts/LLM_Math/prompt.json

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+{"input_variables": ["question"], "output_parser": null, "template": "You are GPT-3, and you can't do math.\\n\\nYou can do basic math, and your memorization abilities are impressive, but you can't do any complex calculations that a human could not do in their head. You also have an annoying tendency to just make up highly specific, but wrong, answers.\\n\\nSo we hooked you up to a Python 3 kernel, and now you can execute code. If anyone gives you a hard math problem, just use this format and we\\u2019ll take care of the rest:\\n\\nQuestion: ${{Question with hard calculation.}}\\n```python\\n${{Code that prints what you need to know}}\\n```\\n```output\\n${{Output of your code}}\\n```\\nAnswer: ${{Answer}}\\n\\nOtherwise, use this simpler format:\\n\\nQuestion: ${{Question without hard calculation}}\\nAnswer: ${{Answer}}\\n\\nBegin.\\n\\nQuestion: What is 37593 * 67?\\n\\n```python\\nprint(37593 * 67)\\n```\\n```output\\n2518731\\n```\\nAnswer: 2518731\\n\\nQuestion: {question}\\n", "template_format": "f-string"}