Docs spelling and grammar fixes (#13307)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: RainRat <rainrat78@yahoo.ca>
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@ -40,7 +40,7 @@ Apple's CoreML framework offers robust features for on-device machine learning.
## CoreML Deployment Options
Before we look at the code for exporting YOLOv8 models to the CoreML format, lets understand where CoreML models are usually used.
Before we look at the code for exporting YOLOv8 models to the CoreML format, let's understand where CoreML models are usually used.
CoreML offers various deployment options for machine learning models, including:
@ -50,7 +50,7 @@ CoreML offers various deployment options for machine learning models, including:
- **Downloaded Models**: These models are fetched from a server as needed. This approach is suitable for larger models or those needing regular updates. It helps keep the app bundle size smaller.
- **Cloud-Based Deployment**: CoreML models are hosted on servers and accessed by the iOS app through API requests. This scalable and flexible option enables easy model updates without app revisions. Its ideal for complex models or large-scale apps requiring regular updates. However, it does require an internet connection and may pose latency and security issues.
- **Cloud-Based Deployment**: CoreML models are hosted on servers and accessed by the iOS app through API requests. This scalable and flexible option enables easy model updates without app revisions. It's ideal for complex models or large-scale apps requiring regular updates. However, it does require an internet connection and may pose latency and security issues.
## Exporting YOLOv8 Models to CoreML
@ -123,4 +123,4 @@ In this guide, we went over how to export Ultralytics YOLOv8 models to CoreML fo
For further details on usage, visit the [CoreML official documentation](https://developer.apple.com/documentation/coreml).
Also, if youd like to know more about other Ultralytics YOLOv8 integrations, visit our [integration guide page](../integrations/index.md). You'll find plenty of valuable resources and insights there.
Also, if you'd like to know more about other Ultralytics YOLOv8 integrations, visit our [integration guide page](../integrations/index.md). You'll find plenty of valuable resources and insights there.