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Made some Grammatical error fixes (#10156)

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Made some Grammatical error fixes.
CC: @baskaryan, @eyurtsev, @rlancemartin.

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Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
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10
docs/extras/guides/deployments/template_repos.mdx
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@ -14,7 +14,7 @@ It also contains instructions for how to deploy this app on the Streamlit platfo
## [Gradio (on Hugging Face)](https://github.com/hwchase17/langchain-gradio-template)
This repo serves as a template for how deploy a LangChain with Gradio.
This repo serves as a template for how to deploy a LangChain with Gradio.
It implements a chatbot interface, with a "Bring-Your-Own-Token" approach (nice for not wracking up big bills).
It also contains instructions for how to deploy this app on the Hugging Face platform.
This is heavily influenced by James Weaver's [excellent examples](https://huggingface.co/JavaFXpert).
@ -27,7 +27,7 @@ Chainlit [doc](https://docs.chainlit.io/langchain) on the integration with LangC
## [Beam](https://github.com/slai-labs/get-beam/tree/main/examples/langchain-question-answering)
This repo serves as a template for how deploy a LangChain with [Beam](https://beam.cloud).
This repo serves as a template for how to deploy a LangChain with [Beam](https://beam.cloud).
It implements a Question Answering app and contains instructions for deploying the app as a serverless REST API.
@ -49,7 +49,7 @@ A minimal example of how to deploy LangChain to [Fly.io](https://fly.io/) using
## [Digitalocean App Platform](https://github.com/homanp/digitalocean-langchain)
A minimal example on how to deploy LangChain to DigitalOcean App Platform.
A minimal example of how to deploy LangChain to DigitalOcean App Platform.
## [CI/CD Google Cloud Build + Dockerfile + Serverless Google Cloud Run](https://github.com/g-emarco/github-assistant)
@ -57,7 +57,7 @@ Boilerplate LangChain project on how to deploy to Google Cloud Run using Docker
## [Google Cloud Run](https://github.com/homanp/gcp-langchain)
A minimal example on how to deploy LangChain to Google Cloud Run.
A minimal example of how to deploy LangChain to Google Cloud Run.
## [SteamShip](https://github.com/steamship-core/steamship-langchain/)
@ -82,4 +82,4 @@ These templates serve as examples of how to build, deploy, and share LangChain a
## [AzureML Online Endpoint](https://github.com/Azure/azureml-examples/blob/main/sdk/python/endpoints/online/llm/langchain/1_langchain_basic_deploy.ipynb)
A minimal example of how to deploy LangChain to an Azure Machine Learning Online Endpoint.
A minimal example of how to deploy LangChain to an Azure Machine Learning Online Endpoint.

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docs/extras/use_cases/more/agents/agent_simulations/index.mdx
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@ -4,7 +4,7 @@ sidebar_position: 0
# Agent simulations
Agent simulations involve interacting one of more agents with each other.
Agent simulations involve interacting one or more agents with each other.
Agent simulations generally involve two main components:
- Long Term Memory