damccorm commented on code in PR #23880: URL: https://github.com/apache/beam/pull/23880#discussion_r1008944269
########## website/www/site/content/en/documentation/ml/overview.md: ########## @@ -61,6 +61,6 @@ In order to automate and track the AI/ML workflows throughout your project, you ## Examples You can find examples of end-to-end AI/ML pipelines for several use cases: -* [Multi model pipelines in Beam](/documentation/ml/multi-model-pipelines) -* [Online Clustering in Beam](/documentation/ml/online-clustering) -* [Anomaly Detection in Beam](/documentation/ml/anomaly-detection) +* [Multi model pipelines in Beam](/documentation/ml/multi-model-pipelines): It explains how multi-model pipelines work and gives an overview of what you need to know to build one using RunInference API. +* [Online Clustering in Beam](/documentation/ml/online-clustering): The example demonstrates how to setup a realtime clustering pipeline that can read text from PubSub, convert the text into an embedding using a transformer based language model with RunInference API, and cluster them using BIRCH with Stateful Processing. +* [Anomaly Detection in Beam](/documentation/ml/anomaly-detection): The example demonstrates how to setup an anomaly detection pipeline that reads text from PubSub in real-time, and then detects anomaly using a trained HDBSCAN clustering model with RunInference API. Review Comment: ```suggestion * [Multi model pipelines in Beam](/documentation/ml/multi-model-pipelines): explains how multi-model pipelines work and gives an overview of what you need to know to build one using RunInference API. * [Online Clustering in Beam](/documentation/ml/online-clustering): demonstrates how to setup a realtime clustering pipeline that can read text from PubSub, convert the text into an embedding using a transformer based language model with the RunInference API, and cluster them using BIRCH with Stateful Processing. * [Anomaly Detection in Beam](/documentation/ml/anomaly-detection): demonstrates how to setup an anomaly detection pipeline that reads text from PubSub in real-time, then detects anomaly using a trained HDBSCAN clustering model with RunInference API. ``` Just a few small wording nits (mostly about consistency with other docs). Otherwise, looks good - thanks! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
