Research Operationalization

This folder contains code samples and hands-on labs demonstrating the operationalization of latest research models or frameworks from Google DeepMind and Research teams on Google Cloud including Vertex AI.

• TimesFM - Time-Series Foundation Model: This folders illustrates the operationalization of TimesFM model in a generative AI application, in the context of a retail merchant analyzing performance of a particular item/product.

A few other repositories you may find interesting:

• Developing NLP solutions with T5X and Vertex AI: This repository compiles prescriptive guidance and code samples that show how to operationalize the Google Research T5X framework using Google Cloud Vertex AI. Using T5X with Vertex AI enables streamlined experimentation, development, and deployment of natural language processing (NLP) solutions at scale.

• AlphaFold batch inference with Vertex AI Pipelines: This repository compiles prescriptive guidance and code samples demonstrating how to operationalize AlphaFold batch inference using Vertex AI Pipelines.