mirror of
				https://github.com/hwchase17/langchain.git
				synced 2025-11-04 10:10:09 +00:00 
			
		
		
		
	- Updated `langchain/docs/modules/models/llms/integrations/` notebooks: added links to the original sites, the install information, etc. - Added the `nlpcloud` notebook. - Removed "Example" from Titles of some notebooks, so all notebook titles are consistent.
		
			
				
	
	
		
			160 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			160 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
{
 | 
						|
 "cells": [
 | 
						|
  {
 | 
						|
   "cell_type": "markdown",
 | 
						|
   "id": "9597802c",
 | 
						|
   "metadata": {},
 | 
						|
   "source": [
 | 
						|
    "# AI21\n",
 | 
						|
    "\n",
 | 
						|
    "[AI21 Studio](https://docs.ai21.com/) provides API access to `Jurassic-2` large language models.\n",
 | 
						|
    "\n",
 | 
						|
    "This example goes over how to use LangChain to interact with [AI21 models](https://docs.ai21.com/docs/jurassic-2-models)."
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": null,
 | 
						|
   "id": "02be122d-04e8-4ec6-84d1-f1d8961d6828",
 | 
						|
   "metadata": {
 | 
						|
    "tags": []
 | 
						|
   },
 | 
						|
   "outputs": [],
 | 
						|
   "source": [
 | 
						|
    "# install the package:\n",
 | 
						|
    "!pip install ai21"
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": 7,
 | 
						|
   "id": "4229227e-6ca2-41ad-a3c3-5f29e3559091",
 | 
						|
   "metadata": {
 | 
						|
    "tags": []
 | 
						|
   },
 | 
						|
   "outputs": [
 | 
						|
    {
 | 
						|
     "name": "stdin",
 | 
						|
     "output_type": "stream",
 | 
						|
     "text": [
 | 
						|
      " ········\n"
 | 
						|
     ]
 | 
						|
    }
 | 
						|
   ],
 | 
						|
   "source": [
 | 
						|
    "# get AI21_API_KEY. Use https://studio.ai21.com/account/account\n",
 | 
						|
    "\n",
 | 
						|
    "from getpass import getpass\n",
 | 
						|
    "AI21_API_KEY  = getpass()"
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": 8,
 | 
						|
   "id": "6fb585dd",
 | 
						|
   "metadata": {
 | 
						|
    "tags": []
 | 
						|
   },
 | 
						|
   "outputs": [],
 | 
						|
   "source": [
 | 
						|
    "from langchain.llms import AI21\n",
 | 
						|
    "from langchain import PromptTemplate, LLMChain"
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": 9,
 | 
						|
   "id": "035dea0f",
 | 
						|
   "metadata": {
 | 
						|
    "tags": []
 | 
						|
   },
 | 
						|
   "outputs": [],
 | 
						|
   "source": [
 | 
						|
    "template = \"\"\"Question: {question}\n",
 | 
						|
    "\n",
 | 
						|
    "Answer: Let's think step by step.\"\"\"\n",
 | 
						|
    "\n",
 | 
						|
    "prompt = PromptTemplate(template=template, input_variables=[\"question\"])"
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": 10,
 | 
						|
   "id": "3f3458d9",
 | 
						|
   "metadata": {
 | 
						|
    "tags": []
 | 
						|
   },
 | 
						|
   "outputs": [],
 | 
						|
   "source": [
 | 
						|
    "llm = AI21(ai21_api_key=AI21_API_KEY)"
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": 11,
 | 
						|
   "id": "a641dbd9",
 | 
						|
   "metadata": {
 | 
						|
    "tags": []
 | 
						|
   },
 | 
						|
   "outputs": [],
 | 
						|
   "source": [
 | 
						|
    "llm_chain = LLMChain(prompt=prompt, llm=llm)"
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": 12,
 | 
						|
   "id": "9f0b1960",
 | 
						|
   "metadata": {
 | 
						|
    "tags": []
 | 
						|
   },
 | 
						|
   "outputs": [
 | 
						|
    {
 | 
						|
     "data": {
 | 
						|
      "text/plain": [
 | 
						|
       "'\\n1. What year was Justin Bieber born?\\nJustin Bieber was born in 1994.\\n2. What team won the Super Bowl in 1994?\\nThe Dallas Cowboys won the Super Bowl in 1994.'"
 | 
						|
      ]
 | 
						|
     },
 | 
						|
     "execution_count": 12,
 | 
						|
     "metadata": {},
 | 
						|
     "output_type": "execute_result"
 | 
						|
    }
 | 
						|
   ],
 | 
						|
   "source": [
 | 
						|
    "question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
 | 
						|
    "\n",
 | 
						|
    "llm_chain.run(question)"
 | 
						|
   ]
 | 
						|
  },
 | 
						|
  {
 | 
						|
   "cell_type": "code",
 | 
						|
   "execution_count": null,
 | 
						|
   "id": "22bce013",
 | 
						|
   "metadata": {},
 | 
						|
   "outputs": [],
 | 
						|
   "source": []
 | 
						|
  }
 | 
						|
 ],
 | 
						|
 "metadata": {
 | 
						|
  "kernelspec": {
 | 
						|
   "display_name": "Python 3 (ipykernel)",
 | 
						|
   "language": "python",
 | 
						|
   "name": "python3"
 | 
						|
  },
 | 
						|
  "language_info": {
 | 
						|
   "codemirror_mode": {
 | 
						|
    "name": "ipython",
 | 
						|
    "version": 3
 | 
						|
   },
 | 
						|
   "file_extension": ".py",
 | 
						|
   "mimetype": "text/x-python",
 | 
						|
   "name": "python",
 | 
						|
   "nbconvert_exporter": "python",
 | 
						|
   "pygments_lexer": "ipython3",
 | 
						|
   "version": "3.10.6"
 | 
						|
  }
 | 
						|
 },
 | 
						|
 "nbformat": 4,
 | 
						|
 "nbformat_minor": 5
 | 
						|
}
 |