Posts

 

Deploying Machine Learning models using GCP's Google AI Platform - A Detailed Tutorial

In my last post I had written about deploying models on AWS. So, I though it would only be fitting to write one for GCP, for all the …

Deploying Machine Learning models using AWS Lambda and Github Actions - A Detailed Tutorial

Quite a while back, I had written a post in which I described how to package your Machine Learning models using Docker and deploy them …

PPML Series #3 - Federated Learning for Mobile Keyboard Prediction

Introduction Gboard — the Google keyboard, is a virtual keyboard for smartphones with support for more than 900+ language varieties and …

PPML Series #2 - Federated Optimization Algorithms - FedSGD and FedAvg

In my last post, I covered a high-level overview of Federated Learning, its applications, advantages & challenges. We also went …

PPML Series #1 - An introduction to Federated Learning

Motivation Privacy-preserving Machine Learning had always been exciting for me. Since my B.Tech. thesis involving PPML (SMPC + Computer …

Paper Summary #6 - Language Models are Unsupervised Multitask Learners

Paper: Language Models are Unsupervised Multitask Learners Link: https://bit.ly/3vgaVJc Authors: Alec Radford, Jeffrey Wu, Rewon Child, …

Paper Summary #5 - XLNet: Generalized Autoregressive Pretraining for Language Understanding

Paper: XLNet: Generalized Autoregressive Pretraining for Language Understanding Link: https://arxiv.org/pdf/1906.08237.pdf Authors: …

Paper Summary #4 - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper: BERT - Pre-training of Deep Bidirectional Transformers for Language Understanding Link: https://bit.ly/3bdTUra Authors: Jacob …

Paper Summary #3 - Improving Language Understanding by Generative Pre-Training

Paper: Improving Language Understanding by Generative Pre-Training Link: https://bit.ly/3xITvGP Blog: …

Paper Summary #2 - Deep contextualized word representations

Paper: Deep contextualized word representations Link: https://arxiv.org/abs/1802.05365 Authors: Matthew E. Peters, Mark Neumann, Mohit …