Sieun Park – Medium

Sieun Park

A late review of OpenAI’s “Training Verifiers to Solve Math Word Problems”

Solving math problems with GPT. Verifiers, GSM-8K dataset, mathematical reasoning

Mar 14, 2024

A late review of OpenAI’s “Training Verifiers to Solve Math Word Problems”

Mar 14, 2024

Published in
CodeX

Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text…

The tokenization method for Alpaca, LLaMA, T5, XLNet

May 19, 2023

Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text…

May 19, 2023

Published in
CodeX

An Introduction to Multiprocessing Using Python

Is multithreading or multiprocessing faster than another?

Apr 16, 2023

An Introduction to Multiprocessing Using Python

Apr 16, 2023

Subword Regularization

Prerequisite for understanding the commonly used `SentencePiece` tokenizer. Improve your tokenization using subword regularization!

Mar 5, 2023

Subword Regularization

Mar 5, 2023

Details of Faster, Mask, Cascade R-CNN 🔥

WHY should you care? Faster R-CNN is an actively cited benchmark for comparing object detection performance of modern network…

Jun 7, 2022

Details of Faster, Mask, Cascade R-CNN 🔥

Jun 7, 2022

Published in
CodeX

ConvMixer: Patches Are All You Need? Overview and thoughts 🤷

CNNs don’t always have to progressively decrease resolution. A revolutionary idea that might shape the next-gen architectures for Computer…

Nov 1, 2021

ConvMixer: Patches Are All You Need? Overview and thoughts 🤷

Nov 1, 2021

Published in
CodeX

7 Different Convolutions for designing CNNs that will Level-up your Computer Vision project

In-depth review on Basic, Transposed, Dilated, Separable, Depthwise, and Pointwise convolutions and their applications.

Oct 29, 2021

7 Different Convolutions for designing CNNs that will Level-up your Computer Vision project

Oct 29, 2021

Published in
CodeX

R-Drop, a simple trick to improve DropOut

The method is simple, but results are significant. R-Drop achieves SOTA on NMT tasks even with the VANILLA Transformer architecture!

Oct 27, 2021

R-Drop, a simple trick to improve DropOut

Oct 27, 2021

Published in
CodeX

Making VGG-style convnets great again with RepVGG

VGGs are great! While they suck at training time, they are fast, flexible, and memory-efficient compared to modern CNNs. Let’s improve them.

Oct 26, 2021

Making VGG-style convnets great again with RepVGG

Oct 26, 2021

Published in
CodeX

Implementing R-CNN object detection on VOC2012 with PyTorch

How do we implement object detection from scratch? Let’s start from the basic R-CNN.

Oct 22, 2021

Implementing R-CNN object detection on VOC2012 with PyTorch

Oct 22, 2021

Sieun Park

Sieun Park

Who knew AI could be so hot? I am an 18 years old Korean student. I started working in ML at 16, but that's it. LinkedIn: https://bit.ly/2VTkth7 😀

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