Company’s digital occasion highlights its newest software program improvements and imaginative and prescient
Company introduces Samsung Gauss2, the second-generation of its generative AI mannequin
Samsung Electronics immediately hosted the Samsung Developer Conference Korea 2024 (SDC24 Korea), a digital occasion that showcased the corporate’s newest software program improvements and imaginative and prescient for the long run.
Since 2014, Samsung Electronics has held this annual occasion to interact and collaborate with software program builders, making SDC24 Korea the 11th iteration. This 12 months’s convention highlighted analysis associated to software program embedded in merchandise corresponding to generative AI, software program platforms, IoT, healthcare, communications and information. It additionally delved into the tradition of open-source growth.
During the keynote tackle, the corporate unveiled Samsung Gauss2, the second era of its proprietary AI mannequin, and highlighted its improved efficiency, effectivity and numerous utility prospects.
“Samsung Electronics is committed to developing cutting-edge software, including AI and data analytics, to enhance user experiences,” stated Paul Kyungwhoon Cheun, President, CTO of the Device eXperience (DX) Division and Head of Samsung Research. “With three distinct models, Samsung Gauss2 is already boosting our internal productivity, and we plan to integrate it into products to deliver higher levels of convenience and personalization.”
Samsung Gauss2: A Multimodal Language Model Catering to Diverse Needs
Samsung Gauss2 is the follow-up to the corporate’s inner generative AI mannequin unveiled final 12 months, and it affords improved efficiency and effectivity in concurrently dealing with numerous information varieties as a multimodal mannequin integrating language, code and pictures. It is obtainable in three distinct fashions catered to totally different functions: Compact, Balanced and Supreme.
The Compact mannequin is a small-sized mannequin particularly designed to work effectively, even in restricted computing environments. It delivers optimized efficiency for on-device utilization by maximizing the utilization of the machine’s computing assets. On the opposite hand, the Balanced mannequin focuses on attaining stability between efficiency, pace and effectivity, offering constant efficiency throughout various duties. Finally, the Supreme mannequin goals for top-notch efficiency by leveraging Mixture of Experts expertise1 atop the Balanced mannequin, permitting vital reductions in computational prices throughout coaching and inference processes whereas sustaining excessive ranges of each efficiency and effectivity.
Samsung Gauss2 helps 9 to 14 languages in addition to numerous programming languages, relying on the mannequin. Samsung has developed and integrated its personal stabilization methods for coaching massive language fashions (LLMs) and designed a customized tokenizer2 to make sure most effectivity for these supported languages.
The Balanced and Supreme fashions supply equal or superior efficiency in key metrics corresponding to producing responses in numerous languages together with English and Korean, and coding capabilities in comparison with main open-source generative AI fashions presently accessible. Additionally, their processing pace per hour is 1.5 to three instances sooner, enabling faster AI response era, diminished consumer wait instances and extra environment friendly job dealing with.
Customizable for Various Productivity Tasks and Product Development
Having an inner generative AI mannequin permits simpler customization in order that optimum efficiency could be achieved for particular objectives and purposes. Samsung Gauss is already being utilized in numerous duties for Samsung’s staff, leveraging its customizable growth capabilities.
With the ability of Samsung Gauss, the in-house coding assistant ‘code.i’ assists the corporate’s software program builders. Now upgraded to Samsung Gauss2, it’s being utilized by enterprise items inside the Device eXperience (DX) Division and abroad analysis institutes.
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