IBM’s Watson learns Arabic and integrates it into AI
A collaboration between Saudi Arabia and IBM is developing a generative AI program focused on multiple Arabic dialects. The Saudi Data and Artificial Intelligence Authority (SDAIA) has announced that their Arabic large language model ALLaM will be integrated into IBM’s AI and data platform, Watsonx.
Watsonx is widely used by companies for various applications such as creating editorial content, developing chatbots, and writing programming code, including scripting for video games and customer service chatbots.
IBM Israel has been pioneering Watson research. Researchers David Carmel and Dafna Sheinwald from IBM Israel played a crucial role in the development of Watson, the supercomputer that famously won a round of Jeopardy in 2011. The winnings were donated to charities, totaling USD 77,147.
This research aims to enhance the understanding of Arabic language models. ALLaM is known for its ability to retrieve and generate information in audio and text formats across various Arabic dialects, addressing a long-standing challenge for developers.
Esam Alwagait, director of SDAIA, anticipates that this collaboration will lead to further technological advancements.
The development of ALLaM could potentially result in the creation of Arabic GPT text generators similar to Google’s Gemini, X’s Grok, and OpenAI’s ChatGPT. Trained on a vast amount of Arabic and English articles, ALLaM strives to overcome the complexities associated with working with Arabic dialects.
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