Core42 and Cerebras Sets New Benchmark for Arabic Large Language Models with the Release of Jais 30B

Cerebras and Core42, a G42 company and the UAE-based national-scale enabler for cloud and generative AI, has announced the launch of Jais 30B, the newest and most proficient version of its open-source Arabic Large Language Model (LLM).

Jais 30B is a significant upgrade from its predecessor, Jais 13B, which was released in August 2023. The new model has 30 billion parameters, compared to 13 billion for Jais 13B, and was trained on a substantially larger dataset. This has resulted in significant improvements in language generation, summarization, and Arabic-English translation.

Jais 30B is now on par with monolingual English models and outperforms most open-source models in Foundation Model evaluations. The model is also able to generate longer and more detailed responses in both Arabic and English.

Core42 is committed to responsible and safe AI practices, and the Jais 30B development team has further enhanced its processes and policies to guardrail biases and the production of hateful or harmful content by the model.

Jais 30B is available for download on Hugging Face.

Hugging Face foundational model: https://huggingface.co/core42/jais-30b-v1
Hugging Face chat model: https://huggingface.co/core42/jais-30b-chat-v1

The launch of Jais 30B is a major milestone for Core42 and the Arabic-speaking world. The model has the potential to revolutionize the way we communicate, learn, and work in Arabic.


Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.


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