github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-09-07 22:11:51 +00:00
Code Issues Packages Projects Releases Wiki Activity

updates some spelling mistakes (#8537)

Browse Source 
Just updating some spelling / grammar issues in the documentation. No
code changes.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
This commit is contained in:
Danny Davenport
2023-07-31 20:15:29 -04:00
committed by GitHub
parent b4a126ae71
commit 8d2344db43
3 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/snippets/get_started/quickstart/llm_chain.mdx
View File

@@ -17,7 +17,7 @@ class CommaSeparatedListOutputParser(BaseOutputParser):
return text.strip().split(", ")
template = """You are a helpful assistant who generates comma separated lists.
A user will pass in a category, and you should generated 5 objects in that category in a comma separated list.
A user will pass in a category, and you should generate 5 objects in that category in a comma separated list.
ONLY return a comma separated list, and nothing more."""
system_message_prompt = SystemMessagePromptTemplate.from_template(template)
human_template = "{text}"

2
docs/snippets/modules/model_io/prompts/prompt_templates/get_started.mdx
View File

@@ -74,7 +74,7 @@ These chat messages differ from raw string (which you would pass into a [LLM](/d
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.
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.
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.