Saudi Arabia's ALLaM Model Joins IBM Watsonx as a Top Arabic Language Generator

The announcement was made at the IBM Think event underway in Boston. (SPA)
The announcement was made at the IBM Think event underway in Boston. (SPA)
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Saudi Arabia's ALLaM Model Joins IBM Watsonx as a Top Arabic Language Generator

The announcement was made at the IBM Think event underway in Boston. (SPA)
The announcement was made at the IBM Think event underway in Boston. (SPA)

The Saudi Data and Artificial Intelligence Authority (SDAIA) announced on Tuesday that its ALLaM model, which generates Arabic text, was included in IBM’s leading watsonx platform.

The announcement was made at the IBM Think event underway in Boston.

This selection is testament to ALLaM’s advanced technical capabilities.

During its experimental phase, the model underwent rigorous testing against international standards for generative AI to ensure its readiness to compete with other models on watsonx, a platform widely used by developers around the globe.

Currently available in a trial version, ALLaM’s inclusion in watsonx allows for further professional evaluation. The testing will be instrumental in accelerating the release of the model's full capabilities and establishing it as a highly competitive force in the field of Arabic language generation.

The inclusion also aligns with Saudi Arabia's, specifically with SDAIA's, broader mission to promote the Arabic language on regional and global scale. The efforts focus on preserving the integrity of the language while promoting its use by enriching Arabic content in various fields, including technical, cultural, literary, scientific, and other humanities-based domains.

Ultimately, this initiative aims to leverage AI technologies and digital applications to foster cultural diversity and benefit all humanity, regardless of language, nationality, or educational background.

These efforts contribute to the goals outlined in Saudi Vision 2030, driven by Prince Mohammed bin Salman bin Abdulaziz Al Saud, Crown Prince, Prime Minister of the Kingdom of Saudi Arabia, and Chairman of the Board of Directors of SDAIA, to make the Kingdom a global leader in advanced technologies, including those associated with AI.

ALLaM is the first Saudi-developed AI system designed to answer user questions on different knowledge domains in Arabic.

The groundbreaking model leverages cutting-edge AI technology. Trained on a massive Arabic language dataset, one of the world's largest, and supplemented by English content, ALLaM ensures comprehensive responses.

Users can submit inquiries in text or audio format, and ALLaM will answer in the chosen format, drawing from the most trusted sources in the Kingdom and the Arab world.

The ALLaM model is the product of the SDAIA-IBM partnership. This collaboration is a significant milestone on the road to advancing Arabic language applications within generative AI, said Regional Vice President of IBM Saudi Arabia Ayman Al-Rashed.

"This cooperation unlocks the potential of Arabic language models for both public and private sectors, aligning with the cultural needs of the region," he added.

Al-Rashed further highlighted the broader impact of this project, stressing: "Companies can leverage these models to develop innovative services."

This latest development strengthens Saudi Arabia's position as a leader in AI technology tailored to the specific needs of the regional market, he went on to say.

Artificial intelligence experts, technicians, innovators, company presidents, and policymakers formed part of the IBM Think event.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.