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Yango Enhances Yasmina AI For Improved Conversations
The tech company has upgraded its AI assistant to deliver enhanced creativity, deeper conversations, and advanced bilingual translation.
Global technology company Yango Group has announced a significant upgrade to the large language model (LLM) powering its AI assistant, Yasmina. This enhancement allows Yasmina to deliver more accurate, nuanced, and context-aware responses in Arabic and English, improving interactions and user experience across the Middle East region.
The upgrade is part of a phased rollout of YangoAI, the company’s suite of advanced AI technologies specifically adapted to regional needs. As a result, Yasmina now offers 38% more accurate and timely responses in Arabic, made possible by an enhanced ability to analyze web documents. Additionally, unnecessary answer refusals have been reduced by almost 50%, ensuring smoother and more engaging conversational experiences.
One of the most notable new capabilities of Yasmina is its expanded bilingual translation skill. The improved assistant empowers bilingual users, educators, language learners, and content creators to seamlessly translate conversations between Arabic and English, facilitating better communication and understanding.
Beyond translation, Yasmina can now provide highly contextual recommendations for everyday activities and lifestyle choices. Users seeking personalized suggestions — for instance, how to spend a day in Dubai exploring both modern and traditional attractions — will experience enhanced clarity and precision from the assistant.
The assistant’s upgraded functionality also aids users with tasks such as real-time currency conversion, homework support that encourages independent thinking, creative brainstorming, poetry and storytelling, and even providing riddles suitable for children.
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“With more precise and culturally aware responses, along with additional skills, Yasmina’s latest upgrade positions it as a trusted everyday companion,” said Rami Abu Arja, Senior Innovation Marketing Manager at Yasmina, Yango Middle East. “From creative storytelling to translation, we are enriching lives with human-centered AI and making innovation more accessible to all. As the region embraces digital transformation, we continue to enhance our AI assistant, aiming to make it even more helpful, versatile, and relevant”.
YangoAI’s continuous training on region-specific data ensures that Yasmina and other Yango services authentically reflect local culture and user expectations across the Middle East.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.

Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
