fix: onboard google-cloud-ai_platform and google-cloud-ai_platform-v1

google-cloud-ai_platform-v1/README.md

@@ -2,7 +2,6 @@
 
 Train high-quality custom machine learning models with minimal machine learning expertise and effort.
 
-Vertex AI enables data scientists, developers, and AI newcomers to create custom machine learning models specific to their business needs by leveraging Google's state-of-the-art transfer learning and innovative AI research.
 
 https://github.com/googleapis/google-cloud-ruby
 
@@ -40,7 +39,7 @@ response = client.generate_synthetic_data request
 View the [Client Library Documentation](https://cloud.google.com/ruby/docs/reference/google-cloud-ai_platform-v1/latest)
 for class and method documentation.
 
-See also the [Product Documentation](https://cloud.google.com/vertex-ai/docs/)
+See also the [Product Documentation](https://cloud.google.com/ai-platform/docs)
 for general usage information.
 
 ## Debug Logging

google-cloud-ai_platform-v1/google-cloud-ai_platform-v1.gemspec

@@ -9,7 +9,7 @@ Gem::Specification.new do |gem|
 
   gem.authors       = ["Google LLC"]
   gem.email         = "googleapis-packages@google.com"
-  gem.description   = "Vertex AI enables data scientists, developers, and AI newcomers to create custom machine learning models specific to their business needs by leveraging Google's state-of-the-art transfer learning and innovative AI research. Note that google-cloud-ai_platform-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-ai_platform instead. See the readme for more details."
+  gem.description   = "Train high-quality custom machine learning models with minimal machine learning expertise and effort. Note that google-cloud-ai_platform-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-ai_platform instead. See the readme for more details."
   gem.summary       = "Train high-quality custom machine learning models with minimal machine learning expertise and effort."
   gem.homepage      = "https://github.com/googleapis/google-cloud-ruby"
   gem.license       = "Apache-2.0"

google-cloud-ai_platform/README.md

@@ -1,8 +1,7 @@
 # Ruby Client for the Vertex AI API
 
-API Client library for the Vertex AI API
+Train high-quality custom machine learning models with minimal machine learning expertise and effort.
 
-Vertex AI enables data scientists, developers, and AI newcomers to create custom machine learning models specific to their business needs by leveraging Google's state-of-the-art transfer learning and innovative AI research.
 
 Actual client classes for the various versions of this API are defined in
 _versioned_ client gems, with names of the form `google-cloud-ai_platform-v*`.
@@ -18,7 +17,7 @@ themselves can be found in the client library documentation for the versioned
 client gems:
 [google-cloud-ai_platform-v1](https://cloud.google.com/ruby/docs/reference/google-cloud-ai_platform-v1/latest).
 
-See also the [Product Documentation](https://cloud.google.com/vertex-ai/docs/)
+See also the [Product Documentation](https://cloud.google.com/ai-platform/docs)
 for more usage information.
 
 ## Quick Start

google-cloud-ai_platform/google-cloud-ai_platform.gemspec

@@ -9,8 +9,8 @@ Gem::Specification.new do |gem|
 
   gem.authors       = ["Google LLC"]
   gem.email         = "googleapis-packages@google.com"
-  gem.description   = "Vertex AI enables data scientists, developers, and AI newcomers to create custom machine learning models specific to their business needs by leveraging Google's state-of-the-art transfer learning and innovative AI research."
-  gem.summary       = "API Client library for the Vertex AI API"
+  gem.description   = "Train high-quality custom machine learning models with minimal machine learning expertise and effort."
+  gem.summary       = "Train high-quality custom machine learning models with minimal machine learning expertise and effort."
   gem.homepage      = "https://github.com/googleapis/google-cloud-ruby"
   gem.license       = "Apache-2.0"