Shreyansh Singh
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  • 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
  • Deep Learning in the Browser - Exploring TF.js, WebDNN and ONNX.js

    A quick tutorial to set up a small scale deployment for your ML or DL model

    15 min read   ·   January 25, 2021

    2021   ·   model-deployment   machine learning   web   ·   MLOps

    Deep Learning in the Browser - Exploring TF.js, WebDNN and ONNX.js
  • Quick tutorial to deploy your ML models using FastAPI and Docker

    Just a quick tutorial to set up a small scale deployment for your ML or DL model

    9 min read   ·   January 25, 2021

    2021   ·   model-deployment   machine learning   web   ·   MLOps

    Quick tutorial to deploy your ML models using FastAPI and Docker
  • Androids Encryption (Crypto) - Pwn2Win CTF 2020

    My writeup for Androids Encryption challenge in the Pwn2Win CTF 2020

    11 min read   ·   June 01, 2020

    2020   ·   cryptography   ctf   writeups   ·   Information Security

    Androids Encryption (Crypto) - Pwn2Win CTF 2020
  • MalwareTech's VM1 Reversing Challenge

    My writeup for the VM1 reversing challenge posted by MalwareTech on his website.

    18 min read   ·   January 04, 2020

    2020   ·   reverse engineering   writeups   ·   Information Security

    MalwareTech's VM1 Reversing Challenge
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