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Sayak Paul

Sayak Paul

Machine Learning Engineer at Carted
Kolkata, India
https://sayak.dev
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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.
Oct 7, 2022 7 min read
Building an Efficient Machine Learning API
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.
Sep 2, 2022 10 min read
Variable-Length Sequences in TensorFlow Part 3: Using a Sentence-Conditioned BERT Encoder
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.
Apr 26, 2022 6 min read
Variable-Length Sequences in TensorFlow Part 2: Training a Simple BERT Model
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.
Apr 19, 2022 7 min read
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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.
Apr 11, 2022 6 min read
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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.
Feb 10, 2022 10 min read
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