stuff_summarization.ipynb

{
 "cells": [
  {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple Summarization Using Stuff Method\n",
    "\n",
    "![image.png](attachment:image.png) \n",
    "\n",
    "We suppose that we have a set of documents and we want to summarize the content. LLMs are great tool for this given their proficiency in understanding and synthesizing text.\n",
    "\n",
    "In this notebook, we'll use a simplested method called stuff, which exports all documents as a single prompt to LLMs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# First load document use into 2 methods\n",
    "from langchain_community.document_loaders import WebBaseLoader\n",
    "\n",
    "loader = WebBaseLoader(\"https://huyenchip.com/2023/04/11/llm-engineering.html\")\n",
    "docs = loader.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'In this blog post, Chip Huyen discusses the challenges of building large language model (LLM) applications for production. She covers the key challenges of productionizing LLM applications, task composability, and promising use cases. The challenges include the ambiguity of natural languages, cost and latency, prompt engineering, and backward and forward compatibility. The blog also explores the use cases of LLM applications, such as AI assistants, chatbots, programming and gaming, learning, talk-to-your-data, search and recommendation, sales, and SEO. Huyen also shares strategies for keeping up to date with the field of LLM applications.'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Easy method, it is available for the both by using 'load_summarize_chain' function \n",
    "from langchain.chains.summarize import load_summarize_chain\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-1106\")\n",
    "# We can also supply chain_type=\"map_reduce\" or chain_type=\"refine\".\n",
    "chain = load_summarize_chain(llm, chain_type=\"stuff\")\n",
    "\n",
    "chain.run(docs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In this blog post, the author discusses the challenges of building large language model (LLM) applications for production. They highlight the difficulty of making LLM applications production-ready and the limitations of LLMs due to the ambiguous nature of natural languages. The post is divided into three parts: discussing the challenges of productionizing prompt engineering, exploring task composability and control flows, and highlighting promising use cases for LLM applications such as AI assistants, chatbots, programming and gaming, learning, talk-to-your-data, search and recommendation, sales, and SEO. The author concludes by acknowledging the rapid evolution of LLM applications and the need to stay updated with the latest tools and developments in the field.\n"
     ]
    }
   ],
   "source": [
    "from langchain.chains.combine_documents.stuff import StuffDocumentsChain\n",
    "from langchain_core.prompts import PromptTemplate\n",
    "from langchain.chains.llm import LLMChain\n",
    "\n",
    "# Define prompt\n",
    "prompt_template = \"\"\"Write a concise summary of the following:\n",
    "\"{text}\"\n",
    "CONCISE SUMMARY:\"\"\"\n",
    "prompt = PromptTemplate.from_template(prompt_template)\n",
    "\n",
    "# Define LLM chain\n",
    "llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-16k\")\n",
    "llm_chain = LLMChain(llm=llm, prompt=prompt)\n",
    "\n",
    "# Define StuffDocumentsChain\n",
    "stuff_chain = StuffDocumentsChain(llm_chain=llm_chain, document_variable_name=\"text\")\n",
    "\n",
    "print(stuff_chain.run(docs))"
   ]
  }
 ],
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