Corrected an grammatical mistake (#15163)

Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: Sanskar Tanwar <142409040+SanskarTanwarShorthillsAI@users.noreply.github.com>
Co-authored-by: UpneetShorthillsAI <144228282+UpneetShorthillsAI@users.noreply.github.com>
Co-authored-by: HarshGuptaShorthillsAI <144897987+HarshGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: AdityaKalraShorthillsAI <143726711+AdityaKalraShorthillsAI@users.noreply.github.com>
Co-authored-by: SakshiShorthillsAI <144228183+SakshiShorthillsAI@users.noreply.github.com>
Co-authored-by: AashiGuptaShorthillsAI <144897730+AashiGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: ShamshadAhmedShorthillsAI <144897733+ShamshadAhmedShorthillsAI@users.noreply.github.com>
pull/15180/head
Shorthills AI 9 months ago committed by GitHub
parent 83232d7e94
commit f59d0d3b20
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@ -42,4 +42,4 @@ we do not want these to get in the way of getting good code into the codebase.
### Contributor Documentation
To learn about how to contribute, please follow the [guides here](https://python.langchain.com/docs/contributing/)
To learn about how to contribute, please follow the [guides here](https://python.langchain.com/docs/contributing/)

@ -17,6 +17,6 @@ check out the [LangSmith Cookbook](https://github.com/langchain-ai/langsmith-coo
- Leveraging user feedback in your JS application ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/feedback-examples/nextjs/README.md)).
- Building an automated feedback pipeline ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/feedback-examples/algorithmic-feedback/algorithmic_feedback.ipynb)).
- How to evaluate and audit your RAG workflows ([link](https://github.com/langchain-ai/langsmith-cookbook/tree/main/testing-examples/qa-correctness)).
- How to fine-tune a LLM on real usage data ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/fine-tuning-examples/export-to-openai/fine-tuning-on-chat-runs.ipynb)).
- How to fine-tune an LLM on real usage data ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/fine-tuning-examples/export-to-openai/fine-tuning-on-chat-runs.ipynb)).
- How to use the [LangChain Hub](https://smith.langchain.com/hub) to version your prompts ([link](https://github.com/langchain-ai/langsmith-cookbook/blob/main/hub-examples/retrieval-qa-chain/retrieval-qa.ipynb))

@ -177,7 +177,7 @@
{
"data": {
"text/plain": [
"{'question': 'whats the weather in New york?',\n",
"{'question': 'what's the weather in New york?',\n",
" 'output': '\\nThe weather in New York is 32 degrees.\\n'}"
]
},
@ -187,7 +187,7 @@
}
],
"source": [
"agent_executor.invoke({\"question\": \"whats the weather in New york?\"})"
"agent_executor.invoke({\"question\": \"what's the weather in New york?\"})"
]
},
{
@ -258,7 +258,7 @@
{
"data": {
"text/plain": [
"{'input': 'whats the weather in New york?',\n",
"{'input': 'what's the weather in New york?',\n",
" 'output': 'The weather in New York is 32 degrees'}"
]
},
@ -268,7 +268,7 @@
}
],
"source": [
"agent_executor.invoke({\"input\": \"whats the weather in New york?\"})"
"agent_executor.invoke({\"input\": \"what's the weather in New york?\"})"
]
},
{

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