What is Jais?

Sept. 1, 2023

Recently, a unit of Abu Dhabi AI company G42 has released 'Jais', the world's most advanced Arabic large language model.

About Jais:

It is a bilingual Arabic-English model that has been trained on a massive dataset of text and code.
It can be used for a variety of tasks, such as machine translation, text summarisation, and question-answering.
It was trained on the Condor Galaxy, the world's largest AI supercomputer, using 116 billion Arabic tokens and 279 billion English tokens.
It is also open-source, which means that anyone can use it or contribute to its development.
It is available to download on the Hugging Face machine learning platform.
The release of Jais is a significant step forward for the development of AI in the Arabic world.
Applications
- Potential applications of Jais include Machine translation, which can be used to translate text from Arabic to English and vice versa.
- This could be used to improve the accessibility of information to Arabic speakers, as well as to facilitate communication between Arabic speakers and speakers of other languages.
- It adeptly distils extensive textual content, from news articles to research papers, into succinct and comprehensible summaries, enhancing accessibility and comprehension.
- It also response to queries about text, enabling educational tools like responsive chatbots for students or robust customer service applications for client inquiries.

What are Large Language Models?

These are deep learning algorithms that can recognise, summarise, translate, predict, and generate content using very large datasets.
The popular ChatGPT AI chatbot is one application of a large language model. It can be used for a myriad of natural language processing tasks.
The nearly infinite applications for LLMs also include:
- Retailers and other service providers can use large language models to provide improved customer experiences through dynamic chatbots, AI assistants and more.
- Search engines can use large language models to provide more direct, human-like answers.
- Life science researchers can train large language models to understand proteins, molecules, DNA and RNA.