Abu Dhabi Launches Jais, an AI Model for Arabic Language

Abu Dhabi Launches Jais, an AI Model for Arabic Language

By Staff Writer, 01 September 2023

Abu Dhabi-based Inception, a subsidiary of G42, has introduced Jais, a new AI Arabic language model. Named after Jebel Jais, the UAE's highest mountain peak, the model was created for government, financial, energy, climate, and healthcare applications.

It is an open-source bilingual Arabic-English model developed in collaboration with the Mohammed bin Zayed University of Artificial Intelligence and Cerebras Systems from Silicon Valley, aiming to integrate Arabic, one of the world's most widely used languages, into the AI mainstream.

The new AI language model, according to Jais' inventors, is more precise than earlier Arabic LLMs. Additionally, the program is a step closer to encouraging the scientific and computing communities to collaborate in languages other than English.

“We see Jais becoming very useful in generative use cases, such as generating responses to questions, generating documents, translations, emails, and even providing advice and recommendations,” said Andrew Jackson, CEO of Inception.

As well as understanding context and cultural references, Jais can also capture linguistic nuances across various Arabic dialects, “making it more accurate and contextually relevant than other models,” the developers said.

Condor Galaxy, the "world's largest AI supercomputer" unveiled in July by parent firm G42 and Cerebras, was used to train Jais. According to the companies involved, the program is always growing as more Arabic content is vetted.

With more than 400 million speakers, Arabic is one of the most widely spoken languages in the world, according to WorldData. It is spoken in small amounts in 11 more countries and is the official language of 22. However, data provided by G42 and Cerberus shows that despite a sharp increase in Arabic material, the language still only makes up about 1% of the online environment.

Jais software is available to download on the machine learning platform Hugging Face.

Source: Tech Magazine

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