andres-vv commented on code in PR #25083: URL: https://github.com/apache/beam/pull/25083#discussion_r1126384992
########## website/www/site/content/en/documentation/ml/overview.md: ########## @@ -105,3 +105,4 @@ You can find examples of end-to-end AI/ML pipelines for several use cases: * [Anomaly Detection in Beam](/documentation/ml/anomaly-detection): Demonstrates how to set up an anomaly detection pipeline that reads text from Pub/Sub in real time and then detects anomalies using a trained HDBSCAN clustering model with the RunInference API. * [Large Language Model Inference in Beam](/documentation/ml/large-language-modeling): Demonstrates a pipeline that uses RunInference to perform translation with the T5 language model which contains 11 billion parameters. * [Per Entity Training in Beam](/documentation/ml/per-entity-training): Demonstrates a pipeline that trains a Decision Tree Classifier per education level for predicting if the salary of a person is >= 50k. +* [Cross-language RunInference in Beam](/documentation/ml/multi-language-inference): Demonstrates a cross-language java pipeline that uses a custom python transform to do preprocessing, postprocessing, and inference. Review Comment: Okay, thanks for the heads-up! -- 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]
