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By Faizel Patel

Senior Digital Journalist


Samsung unveils Gauss, an AI model that can generate text, code and images

The rapid progress of generative AI technology is expected to reshape both daily life and work.


Samsung is making strides into Generative Artificial Intelligence (Gen AI), unveiling its own generative AI model, Samsung Gauss.

The tech company hosted the second day of the Samsung AI Forum 2023, which was led by Samsung Research and focused on generative AI.

The rapid progress of generative AI technology is expected to reshape both daily life and work.

Samsung Gauss

During the forum, the company introduced Samsung Gauss, the generative AI model developed by Samsung Research.

“We will continue to support and collaborate with the industry and academia on generative AI research.” said Daehyun Kim, who is the Executive Vice President of the Samsung Research Global AI Centre.

Samsung Gauss, consists of three tools: Samsung Gauss Language, Samsung Gauss Code and Samsung Gauss Image.

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Samsung Gauss Language, a generative language model, enhances work efficiency by facilitating tasks such as composing emails, summarising documents, translating content and answers questions, similar to ChatGPT.

Samsung Gauss Code and a coding assistant (code.i) allows developers to code easily and quickly. It also supports code description and test case generation through an interactive interface.

Samsung Gauss Image is a generative image model that can generate and edit creative images, including style changes and additions, while also converting low-resolution images to high-resolution.

Availability and safety

The tech company said Samsung Gauss is currently used on staff productivity but will be expanded to Samsung product applications in the near future.

Samsung said it is not only developing AI technologies, but also moving forward with various activities that ensure safe AI usage.

“Through the AI Red Team, Samsung continues to strengthen the ability to proactively eliminate and monitor security and privacy issues that may arise in the entire process — ranging from data collection to AI model development, service deployment and AI-generated results — all with the principles of AI ethics in mind,” it said.

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