From 5fd5c457e6c0653d8c74c9cadbedbecfab815856 Mon Sep 17 00:00:00 2001 From: Daniel Wabyick Date: Wed, 4 Sep 2024 12:51:33 -0700 Subject: [PATCH] Fix tiny typo in llm_chain.ipynb (#6679) --- docs/core_docs/docs/tutorials/llm_chain.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/core_docs/docs/tutorials/llm_chain.ipynb b/docs/core_docs/docs/tutorials/llm_chain.ipynb index 592fef3cb35b..ce8f7f400b02 100644 --- a/docs/core_docs/docs/tutorials/llm_chain.ipynb +++ b/docs/core_docs/docs/tutorials/llm_chain.ipynb @@ -269,7 +269,7 @@ "source": [ "## Prompt Templates\n", "\n", - "Right now we are passing a list of messages directly into the language model. Where does this list of messages come from? Usually it constructed from a combination of user input and application logic. This application logic usually takes the raw user input and transforms it into a list of messages ready to pass to the language model. Common transformations include adding a system message or formatting a template with the user input.\n", + "Right now we are passing a list of messages directly into the language model. Where does this list of messages come from? Usually it is constructed from a combination of user input and application logic. This application logic usually takes the raw user input and transforms it into a list of messages ready to pass to the language model. Common transformations include adding a system message or formatting a template with the user input.\n", "\n", "PromptTemplates are a concept in LangChain designed to assist with this transformation. They take in raw user input and return data (a prompt) that is ready to pass into a language model. \n", "\n",