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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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@ -181,7 +181,7 @@
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"source": [
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"We can use `chain_type=\"stuff\"`, especially if using larger context window models such as:\n",
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"\n",
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"* 16k token OpenAI `gpt-3.5-turbo-16k` \n",
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"* 16k token OpenAI `gpt-3.5-turbo-1106` \n",
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"* 100k token Anthropic [Claude-2](https://www.anthropic.com/index/claude-2)\n",
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"\n",
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"We can also supply `chain_type=\"map_reduce\"` or `chain_type=\"refine\"` (read more [here](/docs/modules/chains/document/refine))."
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@ -212,7 +212,7 @@
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"loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2023-06-23-agent/\")\n",
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"docs = loader.load()\n",
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"\n",
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"llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-16k\")\n",
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"llm = ChatOpenAI(temperature=0, model_name=\"gpt-3.5-turbo-1106\")\n",
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"chain = load_summarize_chain(llm, chain_type=\"stuff\")\n",
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"\n",
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"chain.run(docs)"
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@ -672,7 +672,7 @@
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"summarize_document_chain = AnalyzeDocumentChain(\n",
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" combine_docs_chain=chain, text_splitter=text_splitter\n",
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")\n",
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"summarize_document_chain.run(docs[0])"
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"summarize_document_chain.run(docs[0].page_content)"
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]
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},
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{
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