Gemma for Streaming ML with Dataflow- Google Developers Blog

This post details the integration of Gemma 2, a lightweight LLM, into a Google Cloud Dataflow streaming pipeline for real-time sentiment analysis and summarization of customer chat data. It outlines the pipeline architecture, including reading from Pub/Sub, processing with Gemma via a custom KerasNLP model handler, and branching based on sentiment to either store in BigQuery or generate a response for human review. The post provides code snippets for pipeline construction, prompt templating, and discusses setup considerations for using GPUs with Dataflow ML and custom containerization.