Release of Pre-Trained Models for the Japanese Language
Kei Sawada Tianyu Zhao Makoto Shing Kentaro Mitsui Akio Kaga Yukiya Hono Toshiaki Wakatsuki Koh Mitsuda
AI democratization aims to create a world in which the average person can
utilize AI techniques. To achieve this goal, numerous research institutes have
attempted to make their results accessible to the public. In particular, large
pre-trained models trained on large-scale data have shown unprecedented
potential, and their release has had a significant impact. However, most of the
released models specialize in the English language, and thus, AI
democratization in non-English-speaking communities is lagging significantly.
To reduce this gap in AI access, we released Generative Pre-trained Transformer
(GPT), Contrastive Language and Image Pre-training (CLIP), Stable Diffusion,
and Hidden-unit Bidirectional Encoder Representations from Transformers
(HuBERT) pre-trained in Japanese. By providing these models, users can freely
interface with AI that aligns with Japanese cultural values and ensures the
identity of Japanese culture, thus enhancing the democratization of AI.
Additionally, experiments showed that pre-trained models specialized for
Japanese can efficiently achieve high performance in Japanese tasks.