Engineering Featured Better Hardware Provisioning for ML Experiments We demonstrate how to use Terraform to provision cloud hardware for running ML experiments with Vertex AI Workbench.
Engineering Featured Building an Efficient Machine Learning API Learn the techniques we used to build a performant and efficient product categorization endpoint that will be used within our product data pipeline.
Engineering Featured How We Designed Our Scalable Microservice Architecture A look at how we architected our codebase to meet our ambitious goals and work well for our distributed team.
Engineering Featured Variable-Length Sequences in TensorFlow Part 3: Using a Sentence-Conditioned BERT Encoder To conclude this series, we examine the benefits of using a sentence-conditioned BERT model for multi-sentence text data.
Engineering Featured Variable-Length Sequences in TensorFlow Part 2: Training a Simple BERT Model In this article we demonstrate how to use a BERT model with variable-length text data while minimizing training time.
Engineering Featured Variable-Length Sequences in TensorFlow Part 1: Optimizing Sequence Padding We analyze the impact of sequence padding techniques on model training time for variable-length text data.
Engineering Improving Dataflow Pipelines for Text Data Processing This post discusses recipes to improve Cloud Dataflow pipelines for large-scale datasets involving sequential text data.
