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https://github.com/hwchase17/langchain
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updates some spelling mistakes (#8537)
Just updating some spelling / grammar issues in the documentation. No code changes. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
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@ -25,7 +25,7 @@
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"\n",
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"\n",
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"To start, we will use the popular open source feature store framework [Feast](https://github.com/feast-dev/feast).\n",
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"To start, we will use the popular open source feature store framework [Feast](https://github.com/feast-dev/feast).\n",
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"\n",
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"\n",
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"This assumes you have already run the steps in the README around getting started. We will build of off that example in getting started, and create and LLMChain to write a note to a specific driver regarding their up-to-date statistics."
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"This assumes you have already run the steps in the README around getting started. We will build off of that example in getting started, and create and LLMChain to write a note to a specific driver regarding their up-to-date statistics."
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]
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]
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},
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},
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{
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{
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@ -17,7 +17,7 @@ class CommaSeparatedListOutputParser(BaseOutputParser):
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return text.strip().split(", ")
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return text.strip().split(", ")
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template = """You are a helpful assistant who generates comma separated lists.
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template = """You are a helpful assistant who generates comma separated lists.
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A user will pass in a category, and you should generated 5 objects in that category in a comma separated list.
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A user will pass in a category, and you should generate 5 objects in that category in a comma separated list.
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ONLY return a comma separated list, and nothing more."""
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ONLY return a comma separated list, and nothing more."""
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system_message_prompt = SystemMessagePromptTemplate.from_template(template)
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system_message_prompt = SystemMessagePromptTemplate.from_template(template)
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human_template = "{text}"
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human_template = "{text}"
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@ -74,7 +74,7 @@ These chat messages differ from raw string (which you would pass into a [LLM](/d
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For example, in OpenAI [Chat Completion API](https://platform.openai.com/docs/guides/chat/introduction), a chat message can be associated with the AI, human or system role. The model is supposed to follow instruction from system chat message more closely.
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For example, in OpenAI [Chat Completion API](https://platform.openai.com/docs/guides/chat/introduction), a chat message can be associated with the AI, human or system role. The model is supposed to follow instruction from system chat message more closely.
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LangChain provides several prompt templates to make constructing and working with prompts easily. You are encouraged to use these chat related prompt templates instead of `PromptTemplate` when querying chat models to fully exploit the potential of underlying chat model.
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LangChain provides several prompt templates to make constructing and working with prompts easy. You are encouraged to use these chat related prompt templates instead of `PromptTemplate` when querying chat models to fully utilize the potential of the underlying chat model.
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