JAIS: Transforming Arabic and English AI Solutions
Microsoft, in collaboration with Core42, has launched JAIS, a bilingual (Arabic-English) GPT-3-derived large language model on Azure. Aimed at revolutionizing multiple industries including public and government sectors, JAIS optimizes communication, digitizes records, and enhances services in the region. It is already making significant inroads in other fields such as education, banking, healthcare, and media. The model employs 30 billion parameters and sophisticated techniques, setting benchmarks in Arabic-language tasks. Organizations can access JAIS on Azure Model catalog to explore its powerful AI applications.
- Organization
- Core42
- Industry
- Tech & Comms
- Location
- United Arab Emirates
- Published
- May 2024
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 4
- 1language model
- 2multilingual AI
- 3chat AI
- Limited accessibility to state-of-the-art bilingual AI models for Arabic speakers
- Struggle in handling local government, public, and multilingual sectors
- Manual processes leading to inefficiencies in various industries
- Mediocre performance of existing AI models for Arabic text and data
- Launched JAIS 30B Chat, a bilingual Arabic-English AI model
- Implemented state-of-the-art architecture including ALiBi, SwiGLU
- Deployed on scalable and secure Microsoft Azure AI
- Supported multiple applications like chat, content creation, and data analytics
- Offered accessibility through Models as a Service (MaaS) on Azure
- Performance improvement over other Arabic AI models
- Automation capabilities in patient management and customer service
- Scaled accessibility with Azure infrastructure
- Accelerated innovation in industries including education and banking
Architecture
JAIS uses sophisticated AI architecture employing ALiBi positional embeddings and SwiGLU non-linearity. It efficiently processes Arabic texts with fewer tokens leveraging a custom tokenizer.
Implementation partners1
Sources & evidence1
The cited source is no longer reachable and the organization has no newer case. Not a claim the system was discontinued.
- Cited source last checked Jun 12, 2026 — broken (1/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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