6 citations · 12 across the 9 of their papers we have counts for
3 papers · 1 filter
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning
Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji +1
In the ongoing wave of impact driven by large language models (LLMs) like ChatGPT, the adaptation of LLMs to medical domain has emerged as a crucial research frontier. Since mainst…
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models
Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji
Instruction tuning is essential for large language models (LLMs) to become interactive. While many instruction tuning datasets exist in English, there is a noticeable lack in other…
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology
Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji
This study constructed a Japanese chat dataset for tuning large language models (LLMs), which consist of about 8.4 million records. Recently, LLMs have been developed and gaining p…