From 1325e35d9d23458e570e498d7dacbe5c41a33a24 Mon Sep 17 00:00:00 2001 From: Michael Schuster Date: Thu, 5 Dec 2024 16:20:36 +0100 Subject: [PATCH 1/2] Fix typo in readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 86a15019683..754c82b8298 100644 --- a/README.md +++ b/README.md @@ -147,7 +147,7 @@ Or, through our CLI command: zenml stack deploy --provider aws ``` -Alternatively, if the necessary pieces of infrastructure is already deployed, you can register a cloud stack seamlessly through the stack wizard: +Alternatively, if the necessary pieces of infrastructure are already deployed, you can register a cloud stack seamlessly through the stack wizard: ```bash zenml stack register --provider aws From a8d77cf48092880f6be61652336a186b20306c02 Mon Sep 17 00:00:00 2001 From: Michael Schuster Date: Thu, 5 Dec 2024 16:24:50 +0100 Subject: [PATCH 2/2] More typos --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 754c82b8298..b7398b89ba3 100644 --- a/README.md +++ b/README.md @@ -195,9 +195,9 @@ def trainer(training_df: pd.DataFrame) -> Annotated["model", torch.nn.Module]: ![Exploring ZenML Models](/docs/book/.gitbook/assets/readme_mcp.gif) -### Purpose built for machine learning with integration to you favorite tools +### Purpose built for machine learning with integrations to your favorite tools -While ZenML brings a lot of value of the box, it also integrates into your existing tooling and infrastructure without you having to be locked in. +While ZenML brings a lot of value out of the box, it also integrates into your existing tooling and infrastructure without you having to be locked in. ```python from bentoml._internal.bento import bento