I'm Taewoon | Taewoon Kim

The Problems with p-values

Why Frequentist Significance Testing Falls Short
By Taewoon Kim
Posted on October 16, 2024

Statistical significance testing, specifically the use of p-values, has been the cornerstone of hypothesis testing for decades. However, this frequentist approach has critical flaws that can lead to misleading interpretations and false confidence in research results. In this post, we will break down why p-values often fall short and discuss... [Read More]
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Can the Transformer be viewed as a special case of a Graph Neural Network (GNN)?

A natural language text can be seen as a knowledge graph
By Taewoon Kim
Posted on October 15, 2024

In recent years, Transformers have dominated the field of natural language processing (NLP), while Graph Neural Networks (GNNs) have proven essential for tasks involving graph-structured data. Interestingly, the Transformer can be seen as a special case of GNNs, particularly as an attention-based GNN. This connection emerges when we treat natural... [Read More]
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Is supervised learning a special type of reinforcement learning?

The reason why reinforcement learning is such a hard problem
By Taewoon Kim
Posted on September 22, 2024

Supervised Learning Objective: Maximum Likelihood [Read More]
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Playing around with Hugging Face Llama 3.1 locally

4bit quantization is amazing
By Taewoon Kim
Posted on August 29, 2024

Llama 3.1 was released by Meta a month ago, and you can easily access it via Hugging Face. I used their Transformers quite extensively a few years ago, and haven’t used it for some years. It was already an amazing library back then but now it has become even easier.... [Read More]
Tags:
- llm
- llama
- hugging face
Training a GCN-based edge classifier

Exploring the challenges and strategies for effective edge classification with graph neural networks (GNNs)
By Taewoon Kim
Posted on August 21, 2024

In this post, I’ll walk you through the process of training a Graph Convolutional Network (GCN) for edge classification, a common task in graph-based machine learning applications. Edge classification involves predicting the type of relationship (or edge) between two nodes in a graph, which is particularly useful in areas like... [Read More]
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A machine with human-like memory systems

Can machines think like us?
By Taewoon Kim
Posted on December 21, 2023

The project “A Machine With Human-Like Memory Systems” is the core of my PhD work. It was heavily inspired by the cognitive science theories, such as the ones from Endel Tulving. It’s about developing agents equipped with human-like external memory systems, modeled using knowledge graphs. These agents are designed to... [Read More]
Tags:
- reinforcement learning
- AI
- human memory
- knowledge graph
- machine learning
- deep learning
- PhD
- LLM
- symbolic AI
- GOFAI
- humemai
Using ChatGPT is just so great

This really can do a lot of things, although it's still biased.
By Taewoon Kim
Posted on December 14, 2023

Generating images with text [Read More]
Tags:
- ChatGPT
- AI
- GPT4
- DALL-E
My new website

My boring old website had to be gone.
By Taewoon Kim
Posted on December 12, 2023

I thought that I can make a better website than the one I had. So I made this one! I’ll be posting my projects and other stuff here. I hope you like it! :) I was surprised that I could make this website in just a few hours. I used... [Read More]
Tags:
- website
Bloom: A 176b-parameter open-access multilingual language model

Unlocking the power of open-source language models
By Taewoon Kim
Posted on November 9, 2022

This paper was a result of the Hugging Face BigScience research workshop that I participated in 2021. The paper can be found at https://arxiv.org/abs/2211.05100. [Read More]
Tags:
- llm
- prompt
- gpt
- bloom
Room classifier

A simple room classifier made using EfficientNet and PyTorch Lightning
By Taewoon Kim
Posted on February 28, 2022

Check out https://github.com/tae898/room-classification
Tags:
- room
- classifier