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Fix: (issue #14066) DOC: Summarization output broken (#14078)

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- **Description:** : As described in the issue below, 
https://python.langchain.com/docs/use_cases/summarization  
I've modified the Python code in the above notebook to perform well. 

I also modified the OpenAI LLM model to the latest version as shown
below.
`gpt-3.5-turbo-16k --> gpt-3.5-turbo-1106`
This is because it seems to be a bit more responsive.
  - **Issue:** : #14066
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ggeutzzang 2023-12-04 03:13:57 +09:00 committed by GitHub
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6
docs/docs/use_cases/summarization.ipynb
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@ -181,7 +181,7 @@
"source": [ "source": [
"We can use `chain_type=\"stuff\"`, especially if using larger context window models such as:\n", "We can use `chain_type=\"stuff\"`, especially if using larger context window models such as:\n",
"\n", "\n",
"* 16k token OpenAI `gpt-3.5-turbo-16k` \n", "* 16k token OpenAI `gpt-3.5-turbo-1106` \n",
"* 100k token Anthropic [Claude-2](https://www.anthropic.com/index/claude-2)\n", "* 100k token Anthropic [Claude-2](https://www.anthropic.com/index/claude-2)\n",
"\n", "\n",
"We can also supply `chain_type=\"map_reduce\"` or `chain_type=\"refine\"` (read more [here](/docs/modules/chains/document/refine))." "We can also supply `chain_type=\"map_reduce\"` or `chain_type=\"refine\"` (read more [here](/docs/modules/chains/document/refine))."
@ -212,7 +212,7 @@
"loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2023-06-23-agent/\")\n", "loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2023-06-23-agent/\")\n",
"docs = loader.load()\n", "docs = loader.load()\n",
"\n", "\n",
"llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-16k\")\n", "llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-1106\")\n",
"chain = load_summarize_chain(llm, chain_type=\"stuff\")\n", "chain = load_summarize_chain(llm, chain_type=\"stuff\")\n",
"\n", "\n",
"chain.run(docs)" "chain.run(docs)"
@ -672,7 +672,7 @@
"summarize_document_chain = AnalyzeDocumentChain(\n", "summarize_document_chain = AnalyzeDocumentChain(\n",
" combine_docs_chain=chain, text_splitter=text_splitter\n", " combine_docs_chain=chain, text_splitter=text_splitter\n",
")\n", ")\n",
"summarize_document_chain.run(docs[0])" "summarize_document_chain.run(docs[0].page_content)"
] ]
}, },
{ {