langchain/docs/extras/modules/chains/additional/llm_symbolic_math.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# LLM Symbolic Math \n",
"This notebook showcases using LLMs and Python to Solve Algebraic Equations."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculating the limit of an equation"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new LLMSymbolicMathChain chain...\u001b[0m\n",
"What is the limit of sin(x) / x as x goes to 0?\u001b[32;1m\u001b[1;3mAnswer: 1\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'Answer: 1'"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain.llms import OpenAI\n",
"from langchain.chains.llm_symbolic_math.base import LLMSymbolicMathChain\n",
"\n",
"llm = OpenAI(temperature=0)\n",
"llm_symbolic_math = LLMSymbolicMathChain.from_llm(llm, verbose=True)\n",
"\n",
"llm_symbolic_math.run(\"What is the limit of sin(x) / x as x goes to 0?\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculating an integral"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new LLMSymbolicMathChain chain...\u001b[0m\n",
"What is the integral of e^-x from 0 to infinity?\u001b[32;1m\u001b[1;3mAnswer: 1\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'Answer: 1'"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"llm_symbolic_math.run(\"What is the integral of e^-x from 0 to infinity?\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculating an algebraic equation"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new LLMSymbolicMathChain chain...\u001b[0m\n",
"What are the solutions to this equation x**2 - x?\u001b[32;1m\u001b[1;3mAnswer: 0 and 1.\u001b[0m\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'Answer: 0 and 1.'"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"llm_symbolic_math.run(\"What are the solutions to this equation x**2 - x?\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
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"file_extension": ".py",
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}