chore(gen): docs content review 2024-09-23

ai-data/generative-apis/how-to/use-structured-outputs.mdx

@@ -47,7 +47,7 @@ You can interact with text models in several ways:
 
 <Message type="note">
     - All LLMs on the Scaleway library support **JSON mode** and **Structured outputs**, however, the quality of results will vary in the schemaless JSON mode.
-    - JSON mode: It is important to explicitly ask the model to generate a JSON output either in system prompt or user prompt. To prevent infinite generations, model providers most often encourage to ask the model for short JSON objects.
+    - JSON mode: It is important to explicitly ask the model to generate a JSON output either in system prompt or user prompt. To prevent infinite generations, model providers most often encourage users to ask the model for short JSON objects.
     - Structured outputs: Scaleway supports the [JSON schema specification](https://json-schema.org/specification/) including nested schemas composition (`anyOf`, `allOf`, `oneOf` etc), `$ref`, `all` types, and regular expressions.
 </Message>
 

ai-data/managed-inference/how-to/create-deployment.mdx

@@ -1,13 +1,13 @@
 ---
 meta:
-  title: How to create a deployment
-  description: This page explains how to create a deployment
+  title: How to deploy a model on Scaleway Managed Inference
+  description: This page explains how to deploy a model on Scaleway Managed Inference
 content:
-  h1: How to create a deployment
-  paragraph: This page explains how to create a deployment
+  h1: How to deploy a model on Scaleway Managed Inference
+  paragraph: This page explains how to deploy a model on Scaleway Managed Inference
 tags: managed-inference ai-data creating dedicated
 dates:
-  validation: 2024-03-23
+  validation: 2024-09-23
   posted: 2024-03-06
 ---
 
@@ -17,7 +17,7 @@ dates:
 - [Owner](/identity-and-access-management/iam/concepts/#owner) status or [IAM permissions](/identity-and-access-management/iam/concepts/#permission) allowing you to perform actions in the intended Organization
 
 1. Click the **AI & Data** section of the [Scaleway console](https://console.scaleway.com/), and select **Managed Inference** from the side menu to access the Managed Inference dashboard.
-2. Click **Create deployment** to launch the deployment creation wizard.
+2. Click **Deploy a model** to launch the model deployment wizard.
 3. Provide the necessary information:
     - Select the desired model and quantization to use for your deployment [from the available options](/ai-data/managed-inference/reference-content/)
         <Message type="note">
@@ -33,4 +33,4 @@ dates:
       - Enabling both private and public networks will result in two distinct endpoints (public and private) for your deployment.
       - Deployments must have at least one endpoint, either public or private.
     </Message>
-6. Click **Create deployment** to launch the deployment process. Once the deployment is ready, it will be listed among your deployments.
+6. Click **Deploy model** to launch the deployment process. Once the model is ready, it will be listed among your deployments.

bare-metal/elastic-metal/how-to/kubernetes-on-riscv.mdx

@@ -1,13 +1,13 @@
 ---
 meta:
   title: How to run Kubernetes nodes on RISC-V
-  description: This page explains how to use your EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
+  description: This page explains how to use your Scaleway EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
 content:
   h1: How to run Kubernetes nodes on RISC-V
-  paragraph:  This page explains how to use your EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
+  paragraph:  This page explains how to use your Scaleway EM-RV1 Elastic Metal server as a Kosmos Kubernetes node
 tags: kosmos riscv elastic-metal
 dates:
-  validation: 2024-03-22
+  validation: 2024-09-23
   posted: 2024-03-22
 categories:
   - bare-metal

containers/kubernetes/reference-content/version-support-policy.mdx

@@ -1,13 +1,13 @@
 ---
 meta:
   title: Kubernetes version support policy
-  description: This page explains the Kubernetes version support policy
+  description: This page explains Scaleway's Kubernetes version support policy
 content:
   h1: Kubernetes version support policy
-  paragraph: This page explains the Kubernetes version support policy
+  paragraph: This page explains Scaleway's Kubernetes version support policy
 tags: kubernetes support-policy
 dates:
-  validation: 2024-03-19
+  validation: 2024-09-23
   posted: 2022-04-04
 categories:
   - kubernetes

menu/navigation.json

@@ -548,7 +548,7 @@
               {
                 "items": [
                   {
-                    "label": "Create a deployment",
+                    "label": "Deploy a model",
                     "slug": "create-deployment"
                   },
                   {

tutorials/migrate-data-rclone/index.mdx

@@ -1,16 +1,16 @@
 ---
 meta:
-  title: Migrating Object Storage data with Rclone
-  description: This page shows you how to migrate Object Storage data from one region to another with Rclone
+  title: Migrating Scaleway Object Storage data with Rclone
+  description: This page shows you how to migrate Scaleway Object Storage data from one region to another with Rclone
 content:
-  h1: Migrating Object Storage data with Rclone
-  paragraph: This page shows you how to migrate Object Storage data from one region to another with Rclone
+  h1: Migrating Scaleway Object Storage data with Rclone
+  paragraph: This page shows you how to migrate Scaleway Object Storage data from one region to another with Rclone
 categories:
   - instances
   - object-storage
 tags: Rclone object-storage
 dates:
-  validation: 2024-02-26
+  validation: 2024-09-23
   posted: 2019-03-20
 ---