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G42 Company Inception Launches 20+ Arabic AI Language Models
The suite of tools is based on the 70-billion-parameter JAIS 70B large language model with bilingual Arabic and English AI capabilities.
Inception, a company that develops advanced AI models backed by G42, has launched JAIS 70B, a large language model (LLM) specially tailored for Arabic natural language processing (NLP).
The 70-billion parameter model was created to enhance the integration of generative AI across sectors, including content creation, customer service, and data analytics.
The new model offers open-source bilingual AI capabilities in Arabic and English. The technology was developed through rigorous training and fine-tuning of 370 billion tokens, including the largest Arabic dataset ever used in an open-source foundational model, with around 330 billion Arabic tokens.
Along with JAIS 70B, Inception has also announced the launch of 20 AI models ranging from 590 million to 70 billion parameters. The new tools are capable of addressing the needs of small-scale applications as well as complex enterprise solutions.
The AI models have been fine-tuned for chat applications using 1.6 trillion tokens in Arabic and English. Dr. Andrew Jackson, Inception’s CEO, highlighted the company’s passion for preserving Arabic language and heritage while democratizing AI access:
“Releasing JAIS 70B and this new family of models reinforces our commitment to delivering the highest-quality AI foundation model for Arabic-speaking nations,” he noted.
Also Read: Top Free AI Chatbots Available In The Middle East
After launching JAIS-13B and JAIS-13B-chat in August 2023, Inception introduced JAIS-30B and JAIS-30B-chat, with a focus on Arabic-centric models. JAIS 70B and JAIS 70B-chat have both demonstrated superior performance in English and Arabic benchmarks compared to the earlier models.
Neha Sengupta, Principal Applied Scientist at Inception, explained that JAIS variants were trained from scratch and outperformed others that were adapted from existing models. Inception also used Llama2 to enhance efficiency, reduce computational complexity and lessen environmental impact when developing JAIS 70B.
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Abu Dhabi’s Robot Kitchen Is Serving Up Biryani, Not Burgers
Circus SE wants to put a tiny automated factory inside the buildings where Gulf residents live and work, bypassing part of last-mile delivery.
The most telling thing about a new autonomous kitchen now running in Abu Dhabi’s Marina Square is what it won’t cook:
“We don’t do fast food,” says Nikolas Bullwinkel, Founder and CEO of Circus SE. “We’ve actively decided not to build a machine that can only do burgers”.
Instead, the CA-1 system is built around pot-based cooking: curries, pastas, soups and rice dishes. After experimenting with highly personalized recipes, Circus deliberately leaned back toward recognizable food. “We’re going with a chicken biryani because you know it,” Bullwinkel says of the AED 40 dish.

The Germany-based robotics and food technology company operates across eight countries, and Abu Dhabi is its first deployment outside Europe. More locations are expected there and in Dubai.
In Germany, its units can be placed in supermarkets, gas stations, airports and hospitals. In the Gulf, Bullwinkel wants them inside residential and office buildings, replacing some of the complexity of last-mile delivery. “We’re basically bringing a very tiny factory a few square meters into your building,” he says. Catering company Royal Prestige supplies the ingredients and knowledge of local tastes.
The CA-1 manages up to 36 refrigerated ingredient silos alongside automated induction cooking, robotic plating and a self-cleaning dishwasher. Two robotic arms move ingredients through the system with minimal human intervention. It can produce up to 120 hot meals an hour, and a meal such as rice and curry can take around three to four minutes.
Also Read: Ooredoo Qatar’s 5G+ Network Is Built For Machines As Much As People
Five cameras and multiple sensors monitor heat, temperature and consistency, an attempt to approximate what a chef perceives. “You can hear something gets burned, you can smell it, you can see it at some point,” Bullwinkel says. CircusOS, the company’s operating system, adjusts recipes in real time.
You might think of the platform as a threat to kitchen staff, but Bullwinkel frames Circus as a way for chefs to develop recipes and distribute them at scale. With that being said, rising labor costs and shortages are also part of his case for automation.
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