Hugging Face
Models
Datasets
Spaces
Community
Docs
Enterprise
Pricing
Log In
Sign Up
15
8
33
Youngjoon Jang
yjoonjang
Follow
dragonkue's profile picture
sehun's profile picture
CocoRoF's profile picture
12 followers
·
19 following
https://yjoonjang.github.io/
yjoonjang
yjoonjang
AI & ML interests
Information Retrieval (IR), Retrieval-Augmented Generation (RAG)
Recent Activity
updated
a model
5 days ago
yjoonjang/splade-ko-v1
new
activity
22 days ago
yjoonjang/colbert-ko-v1.0:
Produce ColBERT-KO Evaluation Results
reacted
to
Norod78
's
post
with 👍
24 days ago
Multilingual Tokenization Showdown Analyzing 12 LLM Tokenizers Across 204 Languages. First, I've created a dataset with Wikipedia's "Cat" article text in 272 languages: https://huggingface.co/datasets/Norod78/WikiCat-Multilingual For each language entry with at least 100 words, I tokenized the text using 12 tokenizers and calculated the "Characters per token" ratio and "Word per token" ratio. The higher this ratio is, the more information each token represents on average for that language (and perhaps allowing the llm to potentially learn more per-parameter if trained on a dataset of that language). You can see a slideshow summary of the results here: https://norod.github.io/wikicat-tokenizer-eval/tokenizer-slideshow.html I hope I interpreted the results correctly, I've made the code available on GitHub so you can re-create the raw results jsonl with this repo: https://github.com/Norod/wikicat-tokenizer-eval Post on X: https://x.com/Norod78/status/1984366900550266999
View all activity
Organizations
yjoonjang
's datasets
32
Sort: Recently updated
yjoonjang/markers_bm
Viewer
•
Updated
Nov 5, 2024
•
948
•
608
•
1
yjoonjang/frames_benchmark_formatted
Viewer
•
Updated
Sep 30, 2024
•
824
•
6
Previous
1
2
Next