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Second-Generation AI Models

Clean the Sky - Positive Eco Trends & Breakthroughs

Samsung Showcased its New 'Gauss2' Model at SDC24 in Korea

— November 22, 2024 — Tech
The Samsung Gauss2 is the second-generation generative AI model introduced by Samsung at the Samsung Developer Conference Korea 2024. This multimodal AI model integrates language, code, and images, offering improved performance and efficiency compared to its predecessor. The Gauss2 is available in three distinct models—Compact, Balanced, and Supreme—each tailored to different computational needs and performance requirements. The Compact model is designed for efficiency in limited computing environments, the Balanced model optimizes both performance and efficiency, and the Supreme model leverages Mixture of Experts (MoE) technology for high-end computing tasks.

Samsung Gauss2 supports nine to 14 languages and various programming languages, depending on the model. It is currently being utilized within Samsung's Device eXperience (DX) division for tasks such as coding assistance, document summarization, email composition, and translation. The AI model is also being used by call center staff to categorize and summarize customer calls. Samsung plans to integrate Gauss2 into its products to enhance user experiences by providing higher levels of convenience and personalization.

Image Credit: Samsung
Trend Themes
1. Multimodal AI Models - The integration of language, code, and images within AI models showcases a leap towards creating more versatile and efficient AI systems.
2. Tailored AI Solutions - Offering AI models in different configurations, such as Compact, Balanced, and Supreme, addresses diverse computational needs and performance requirements.
3. Mixture of Experts Technology - Using Mixture of Experts (MoE) technology in AI models enhances performance for high-end computing tasks.
Industry Implications
1. Software Development - AI models like Samsung Gauss2 assist in coding, which can revolutionize software development processes by automating repetitive tasks.
2. Customer Service - Incorporating AI to categorize and summarize customer calls can significantly enhance efficiency and accuracy in call centers.
3. Translation Services - AI-driven translation capabilities can provide real-time and multilingual support, potentially transforming global communication.
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