From 13c376345e5548cc12a8b4975696f7b625347a4b Mon Sep 17 00:00:00 2001 From: Rahul Rao Date: Fri, 19 May 2023 20:10:04 +0530 Subject: [PATCH] Fixed assumptions misspelling (#4961) Fixed assumptions misspelling in the link mentioned below:- https://python.langchain.com/en/latest/modules/chains/examples/llm_summarization_checker.html ![image](https://github.com/hwchase17/langchain/assets/16189966/94cf2be0-b3d0-495b-98ad-e1f44331727e) Fix for Issue:- #4959 @hwchase17 --- docs/modules/chains/examples/llm_summarization_checker.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/modules/chains/examples/llm_summarization_checker.ipynb b/docs/modules/chains/examples/llm_summarization_checker.ipynb index 7436616e..77d668a5 100644 --- a/docs/modules/chains/examples/llm_summarization_checker.ipynb +++ b/docs/modules/chains/examples/llm_summarization_checker.ipynb @@ -5,7 +5,7 @@ "metadata": {}, "source": [ "# LLMSummarizationCheckerChain\n", - "This notebook shows some examples of LLMSummarizationCheckerChain in use with different types of texts. It has a few distinct differences from the `LLMCheckerChain`, in that it doesn't have any assumtions to the format of the input text (or summary).\n", + "This notebook shows some examples of LLMSummarizationCheckerChain in use with different types of texts. It has a few distinct differences from the `LLMCheckerChain`, in that it doesn't have any assumptions to the format of the input text (or summary).\n", "Additionally, as the LLMs like to hallucinate when fact checking or get confused by context, it is sometimes beneficial to run the checker multiple times. It does this by feeding the rewritten \"True\" result back on itself, and checking the \"facts\" for truth. As you can see from the examples below, this can be very effective in arriving at a generally true body of text.\n", "\n", "You can control the number of times the checker runs by setting the `max_checks` parameter. The default is 2, but you can set it to 1 if you don't want any double-checking."