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What is mT5?
The multilingual T5 (mT5) is an exceptionally adaptable pretrained text-to-text transformer model, created using a methodology similar to that of the original T5. This repository provides essential resources for reproducing the results detailed in the mT5 research publication.
mT5 has undergone training on the vast mC4 corpus, which includes a remarkable 101 languages, such as Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, and many more. This extensive language coverage renders mT5 an invaluable asset for multilingual applications in diverse sectors, enhancing its usefulness for researchers and developers alike.
What is Syn?
Syn is an advanced Japanese large language model, developed through a collaboration between Upstage and Karakuri, featuring nearly 14 billion parameters and specifically designed for enterprise use in various fields such as finance, manufacturing, legal, and healthcare. It excels in benchmark evaluations on the Weights & Biases Nejumi Leaderboard, demonstrating top-tier performance in accuracy and alignment while maintaining cost-effectiveness through its efficient architecture, which draws inspiration from Solar Mini. Furthermore, Syn showcases outstanding capabilities in Japanese "truthfulness" and safety, skillfully understanding intricate expressions and specialized jargon relevant to different industries. Its flexible fine-tuning options allow for the seamless integration of proprietary data and domain knowledge. Built for widespread deployment, Syn is versatile enough to operate in on-premises environments, AWS Marketplace, and cloud infrastructures, reinforced by strong security and compliance protocols tailored to meet enterprise demands. Impressively, by leveraging AWS Trainium, Syn can reduce training costs by approximately 50 percent compared to traditional GPU setups, enabling rapid customization for a variety of applications. This cutting-edge model not only boosts operational efficiency but also opens doors to more agile and responsive solutions for enterprises, ultimately transforming how businesses approach their challenges. Enhancing productivity and innovation, Syn positions itself as a vital tool for organizations looking to thrive in an increasingly competitive landscape.
Integrations Supported
AWS Marketplace
AWS Trainium
Amazon Web Services (AWS)
BitDelta
Finestel
Solar Mini
Upstage AI
Integrations Supported
AWS Marketplace
AWS Trainium
Amazon Web Services (AWS)
BitDelta
Finestel
Solar Mini
Upstage AI
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
$0.1 per 1M tokens
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
github.com/google-research/multilingual-t5
Company Facts
Organization Name
Upstage AI
Date Founded
2020
Company Location
United States
Company Website
www.upstage.ai/news/introducing-upstage-japan