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

    A step-wise tutorial to demonstrate the steps required to deploy a ML model using AWS Lambda, Github Actions, API Gateway and use Streamlit to access the model API through a UI.

    21 min read   ·   January 23, 2022

    2022   ·   model-deployment   aws   streamlit   github-actions   ·   MLOps

    Deploying Machine Learning models using AWS Lambda and Github Actions - A Detailed Tutorial
  • PPML Series #3 - Federated Learning for Mobile Keyboard Prediction

    Understanding how your mobile keyboard (Gboard, specifically) performs the next word prediction task and performs model training and updates

    17 min read   ·   December 27, 2021

    2021   ·   federated learning   ppml   paper-summaries   ·   PPML

    PPML Series #3 - Federated Learning for Mobile Keyboard Prediction
  • PPML Series #2 - Federated Optimization Algorithms - FedSGD and FedAvg

    A mathematical deep dive on a Federated Optimization algorithm - FedAvg and comparing it with a standard approach - FedSGD.

    16 min read   ·   December 18, 2021

    2021   ·   federated learning   ppml   paper-summaries   ·   PPML

    PPML Series #2 - Federated Optimization Algorithms - FedSGD and FedAvg
  • PPML Series #1 - An introduction to Federated Learning

    A short general introduction to Federated Learning (FL) for folks interested in privacy-preserving machine learning (PPML).

    10 min read   ·   December 11, 2021

    2021   ·   federated learning   ppml   paper-summaries   ·   PPML

    PPML Series #1 - An introduction to Federated Learning
  • Paper Summary #6 - Language Models are Unsupervised Multitask Learners

    The GPT2 model which aimed to perform complex NLP tasks while relying only on a language model trained in a completely unsupervised fashion.

    19 min read   ·   May 23, 2021

    2021   ·   llm   transformer   paper-summaries   ·   LLMs

    Paper Summary #6 - Language Models are Unsupervised Multitask Learners
  • Paper Summary #5 - XLNet: Generalized Autoregressive Pretraining for Language Understanding

    XLNet tries to overcome the limitations of BERT by having a autoregressive component while also capturing the bidirectional context.

    28 min read   ·   May 16, 2021

    2021   ·   llm   transformer   paper-summaries   ·   LLMs   NLP

    Paper Summary #5 - XLNet: Generalized Autoregressive Pretraining for Language Understanding
  • Paper Summary #4 - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    The ground breaking paper that introduced the famous BERT model. This started the inflow of a large number of BERT-based language understanding models.

    23 min read   ·   May 09, 2021

    2021   ·   llm   transformer   paper-summaries   ·   LLMs   NLP

    Paper Summary #4 - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  • Paper Summary #3 - Improving Language Understanding by Generative Pre-Training

    The first paper in the GPT set of models. This is OpenAI's GPT-1.

    21 min read   ·   May 02, 2021

    2021   ·   llm   transformer   paper-summaries   ·   LLMs   NLP

    Paper Summary #3 - Improving Language Understanding by Generative Pre-Training
  • Paper Summary #2 - Deep contextualized word representations (ELMo)

    The second post in the paper notes series. This time we take a look at ELMo.

    19 min read   ·   April 25, 2021

    2021   ·   representation learning   lstm   language model   paper-summaries   ·   NLP

    Paper Summary #2 - Deep contextualized word representations (ELMo)
  • Paper Summary #1 - Attention Is All You Need

    The first of the paper summary series. This is where I briefly summarise the important papers that I read for my job or just for fun :P

    14 min read   ·   April 18, 2021

    2021   ·   attention   language model   paper-summaries   ·   NLP

    Paper Summary #1 - Attention Is All You Need
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