Clarify creating a standalone connector (#12480)

* Clarify creating a standalone connector

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Address review comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

---------

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

Author: kolchfa-aws

_ml-commons-plugin/remote-models/batch-ingestion.md

@@ -50,7 +50,7 @@ To learn more about model groups, see [Model access control]({{site.url}}{{site.
 
 ## Step 2: Create a connector
 
-You can create a standalone connector that can be reused for multiple models. Alternatively, you can specify a connector when creating a model so that it can be used only for that model. For more information and example connectors, see [Connectors]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/connectors/).
+You can create a standalone connector that can be reused by multiple model registrations in OpenSearch that share the same external endpoint and configuration. Alternatively, you can specify a connector when creating a model so that it can be used only for that model. For more information and example connectors, see [Connectors]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/connectors/).
 
 The Connectors Create API, `/_plugins/_ml/connectors/_create`, creates connectors that facilitate registering and deploying external models in OpenSearch. Using the `endpoint` parameter, you can connect ML Commons to any supported ML tool by using its specific API endpoint. For example, you can connect to a ChatGPT model by using the `api.openai.com` endpoint:
 

_ml-commons-plugin/remote-models/connectors.md

@@ -36,16 +36,19 @@ As an ML developer, you can also create connector blueprints for other platforms
 
 You can provision connectors in two ways:
 
-1. [Create a standalone connector](#creating-a-standalone-connector): A standalone connector can be reused and shared by multiple models but requires access to both the model and connector in OpenSearch and the third-party platform, such as OpenAI or Amazon SageMaker, that the connector is accessing. Standalone connectors are saved in a connector index.
+1. [Create a standalone connector](#creating-a-standalone-connector): A standalone connector can be reused by multiple model registrations in OpenSearch that share the same external endpoint and configuration. Standalone connectors require access to both the connector and the model in OpenSearch as well as the third-party platform. Standalone connectors are saved in a connector index.
 
 2. [Create a connector for a specific externally hosted model](#creating-a-connector-for-a-specific-model): Alternatively, you can create a connector that can only be used with the model for which it was created. To access such a connector, you only need access to the model itself because the connection is established inside the model. These connectors are saved in the model index.
 
+If you need to connect to a different external model (for example, switching from `gpt-3.5-turbo` to `gpt-4`), we recommend creating a separate standalone connector. Alternatively, advanced users can override connector `parameters` at predict time if the connector blueprint uses placeholders. For more information, see [Connector blueprints]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/blueprints/).
+{: .note}
+
 If using Python, you can create connectors using the [opensearch-py-ml](https://github.com/opensearch-project/opensearch-py-ml) client CLI. The CLI automates many configuration steps, making setup faster and reducing the chance of errors. For more information about using the CLI, see the [CLI documentation](https://opensearch-project.github.io/opensearch-py-ml/cli/index.html#).
 {: .tip}
 
 ## Creating a standalone connector
 
-Standalone connectors can be used by multiple models. To create a standalone connector, send a request to the `connectors/_create` endpoint and provide all of the parameters described in [Connector blueprints]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/blueprints/):
+To create a standalone connector, send a request to the `connectors/_create` endpoint and provide all of the parameters described in [Connector blueprints]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/blueprints/):
 
 ```json
 POST /_plugins/_ml/connectors/_create

_ml-commons-plugin/remote-models/index.md

@@ -112,7 +112,7 @@ To learn more about model groups, see [Model access control]({{site.url}}{{site.
 
 ## Step 2: Create a connector
 
-You can create a standalone connector that can be reused for multiple models. Alternatively, you can specify a connector when creating a model so that it can be used only for that model. For more information and example connectors, see [Connectors]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/connectors/).
+You can create a standalone connector that can be reused by multiple model registrations in OpenSearch that share the same external endpoint and configuration. Alternatively, you can specify a connector when creating a model so that it can be used only for that model. For more information and example connectors, see [Connectors]({{site.url}}{{site.baseurl}}/ml-commons-plugin/remote-models/connectors/).
 
 If you're using Amazon OpenSearch Service, the process for creating connectors differs. For more information, see [Creating connectors in Amazon OpenSearch Service](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/ml-amazon-connector.html).
 {: .note}