tryumanshow (Seungwoo Ryu)

upvoted a collection about 1 month ago

Korean Instruction Dataset

Collection

4 items • Updated Nov 2 • 4

upvoted a collection about 2 months ago

MobileLLM

Collection

Optimizing Sub-billion Parameter Language Models for On-Device Use Cases (ICML 2024) https://arxiv.org/abs/2402.14905 • 9 items • Updated 29 days ago • 99

upvoted a collection 3 months ago

Korean Reward Modeling

Collection

Korean Datasets, Reward Models for RLHF • 16 items • Updated Nov 19 • 3

upvoted a paper 3 months ago

DiaSynth -- Synthetic Dialogue Generation Framework

Paper • 2409.19020 • Published Sep 25 • 19

upvoted an article 4 months ago

Article

The 5 Most Under-Rated Tools on Hugging Face

Aug 22

• 86

upvoted a collection 4 months ago

LLMs

Collection

350 items • Updated about 17 hours ago • 24

upvoted 2 papers 6 months ago

Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26 • 47

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch

Paper • 2406.14563 • Published Jun 20 • 29

upvoted 3 collections 7 months ago

upvoted a collection 8 months ago

Agents

Collection

62 items • Updated Oct 29 • 5

upvoted a paper 8 months ago

Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3

Paper • 2405.00664 • Published May 1 • 18

upvoted an article 8 months ago

Article

Mixture of Experts Explained

Dec 11, 2023

• 214

upvoted a collection 8 months ago

Long context

Collection

94 items • Updated Sep 29 • 29

upvoted an article 8 months ago

Article

Fine-tune Llama 3 with ORPO

By

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Apr 22

• 228

upvoted a collection 8 months ago

Handbook v0.1 models and datasets

Collection

Models and datasets for v0.1 of the alignment handbook • 6 items • Updated Nov 10, 2023 • 24

Seungwoo Ryu PRO

AI & ML interests

Organizations

tryumanshow's activity

Korean Instruction Dataset

MobileLLM

Korean Reward Modeling

DiaSynth -- Synthetic Dialogue Generation Framework

The 5 Most Under-Rated Tools on Hugging Face

LLMs

Octo-planner: On-device Language Model for Planner-Action Agents

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch

Function Calling v3

Agents

Miqu-based Models

Agents

Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3

Mixture of Experts Explained

Long context

Fine-tune Llama 3 with ORPO

Handbook v0.1 models and datasets