SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face
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SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

The Saudi Data and Artificial Intelligence Authority (SDAIA) has disclosed the listing of the generative Arabic Large Language Model (ALLaM) —7 billion parameters category— on the Hugging Face platform. This platform, a prominent global open-source repository for natural language processing (NLP) resources, now hosts the nationally developed model, making it accessible to a global audience of developers and researchers for utilization in artificial intelligence applications.
SDAIA asserts that ALLaM is positioned as one of the preeminent generative language models for the Arabic language worldwide, SPA reported.
This initiative aligns with the strategic objectives of the Kingdom's Vision 2030, under the leadership of Prince Mohammed bin Salman bin Abdulaziz Al Saud, Crown Prince, Prime Minister and SDAIA Board of Directors Chairman, who supports SDAIA's mandate to strengthen the Kingdom's position as a global technology hub for artificial intelligence and digital innovation.
ALLaM is a large language model distinguished by its precision and efficacy in the comprehension and processing of Arabic. Its capabilities encompass text summarization, content generation, and other functionalities, positioning it as a tool for the development of smart applications. The model's training, conducted on an extensive and diverse Arabic language dataset, is cited as contributing to its performance across varied operational environments.
According to SDAIA, the availability of ALLaM on the Hugging Face platform is intended to facilitate access for the scientific and technical community, enabling the development of artificial intelligence-driven applications.
The listing on Hugging Face represents a phase in the model's ongoing development. ALLaM was initially integrated into IBM's Watsonx platform, which facilitated advanced Arabic language analysis and processing through artificial intelligence solutions. Subsequently, it was launched on Microsoft's Azure cloud platform, providing developers and enterprises access to advanced cloud computing environments.
During the LEAP25 conference, Qualcomm, in collaboration with the ALLaM development team, announced the model's availability on the Qualcomm AI Cloud. Additionally, the "ALLAM AI PC," a computer incorporating advanced artificial intelligence technologies designed to enhance user interaction with the Arabic language, was unveiled.



Samsung Expects a 56% Drop in Q2 Operating Profit, Far Short of Estimates

The logo of Samsung Electronics is seen at its headquarters in Seoul, South Korea, on July 4, 2016. (Reuters)
The logo of Samsung Electronics is seen at its headquarters in Seoul, South Korea, on July 4, 2016. (Reuters)
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Samsung Expects a 56% Drop in Q2 Operating Profit, Far Short of Estimates

The logo of Samsung Electronics is seen at its headquarters in Seoul, South Korea, on July 4, 2016. (Reuters)
The logo of Samsung Electronics is seen at its headquarters in Seoul, South Korea, on July 4, 2016. (Reuters)

Samsung Electronics on Tuesday projected a 56% drop in second-quarter operating profit from a year earlier, missing analysts' estimates by far.

Its chip business struggled with weak sales of artificial intelligence chips, dogged by delays in the supply of its latest chips to Nvidia and continued losses in its contract chip manufacturing business, analysts said.

The world's largest memory chipmaker estimated an operating profit of 4.6 trillion won for the April-June period, versus a 6.2 trillion won LSEG SmartEstimate.

That would compare with 10.4 trillion won in the same period a year earlier and 6.7 trillion won in the preceding quarter.

Revenue would likely fall 0.1% to 74 trillion won from a year earlier, the filing showed.

Samsung is expected to release detailed results, including a breakdown of earnings for each of its businesses, in late July.