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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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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
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