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

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   "source": [
    "# LLM Symbolic Math \n",
    "This notebook showcases using LLMs and Python to Solve Algebraic Equations."
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "### Calculating the limit of an equation"
   ]
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   "outputs": [
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     "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"
     ]
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     "data": {
      "text/plain": [
       "'Answer: 1'"
      ]
     },
     "execution_count": 18,
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   ],
   "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",
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      "\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"
     ]
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      "text/plain": [
       "'Answer: 1'"
      ]
     },
     "execution_count": 19,
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   "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": []
  }
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