langchain/docs/examples/prompts/generate_examples.ipynb

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   "source": [
    "# Generate Examples\n",
    "\n",
    "This notebook shows how to use LangChain to generate more examples similar to the ones you already have."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1685fa2f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "from langchain.chains.react.prompt import EXAMPLES\n",
    "from langchain.llms.openai import OpenAI\n",
    "from langchain.example_generator import generate_example, generate_example_from_dynamic_prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "334ef4f7",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Question: What is the elevation range for the area that the eastern sector of the\\nColorado orogeny extends into?\\nThought 1: I need to search Colorado orogeny, find the area that the eastern sector\\nof the Colorado orogeny extends into, then find the elevation range of the\\narea.\\nAction 1: Search[Colorado orogeny]\\nObservation 1: The Colorado orogeny was an episode of mountain building (an orogeny) in\\nColorado and surrounding areas.\\nThought 2: It does not mention the eastern sector. So I need to look up eastern\\nsector.\\nAction 2: Lookup[eastern sector]\\nObservation 2: (Result 1 / 1) The eastern sector extends into the High Plains and is called\\nthe Central Plains orogeny.\\nThought 3: The eastern sector of Colorado orogeny extends into the High Plains. So I\\nneed to search High Plains and find its elevation range.\\nAction 3: Search[High Plains]\\nObservation 3: High Plains refers to one of two distinct land regions\\nThought 4: I need to instead search High Plains (United States).\\nAction 4: Search[High Plains (United States)]\\nObservation 4: The High Plains are a subregion of the Great Plains. From east to west, the\\nHigh Plains rise in elevation from around 1,800 to 7,000 ft (550 to 2,130\\nm).[3]\\nThought 5: High Plains rise in elevation from around 1,800 to 7,000 ft, so the answer\\nis 1,800 to 7,000 ft.\\nAction 5: Finish[1,800 to 7,000 ft]'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print initial example for visibility\n",
    "EXAMPLES[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a7bd36bc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_example = generate_example(EXAMPLES, OpenAI())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e1efb008",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " '',\n",
       " 'Question: Which ocean is the world’s smallest?',\n",
       " '',\n",
       " 'Thought 1: I need to search for oceans and find which one is the world’s smallest.',\n",
       " '',\n",
       " 'Action 1: Search[oceans]',\n",
       " '',\n",
       " 'Observation 1: There are five oceans: the Pacific, Atlantic, Indian, Southern, and Arctic.',\n",
       " '',\n",
       " 'Thought 2: I need to compare the sizes of the oceans and find which one is the smallest.',\n",
       " '',\n",
       " 'Action 2: Compare[Pacific, Atlantic, Indian, Southern, Arctic]',\n",
       " '',\n",
       " 'Observation 2: The Arctic is the smallest ocean.']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_example.split('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed01ba2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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