Summary of Release Of Pre-trained Models For the Japanese Language, by Kei Sawada et al.
Release of Pre-Trained Models for the Japanese Language
by Kei Sawada, Tianyu Zhao, Makoto Shing, Kentaro Mitsui, Akio Kaga, Yukiya Hono, Toshiaki Wakatsuki, Koh Mitsuda
First submitted to arxiv on: 2 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper aims to bridge the gap in AI accessibility by releasing pre-trained models in Japanese, specifically Generative Pre-trained Transformer (GPT), Contrastive Language and Image Pre-training (CLIP), Stable Diffusion, and Hidden-unit Bidirectional Encoder Representations from Transformers (HuBERT). These models are trained on large-scale data and show potential for various tasks. The release of these models can enhance AI democratization in non-English-speaking communities, particularly Japanese culture. Experiments demonstrate that pre-trained models specialized for Japanese can achieve high performance in Japanese tasks. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper tries to make artificial intelligence (AI) more accessible to people who don’t speak English fluently. Right now, most released AI models are only good with the English language, leaving a big gap in AI access for non-English speakers. To fix this, the authors released some pre-trained AI models that can understand Japanese. These models include GPT, CLIP, Stable Diffusion, and HuBERT. By providing these models, people who speak Japanese can use AI in their own language, which is important for preserving Japanese culture. The results show that these Japanese-language AI models work well on tasks specific to the Japanese language. |
Keywords
» Artificial intelligence » Diffusion » Encoder » Gpt » Transformer