Samsung first publicly revealed its AI model dubbed Samsung Gauss on Wednesday.
The South Korean tech giant’s generative AI model is named after the famous mathematician Carl Friedrich Gauss who founded the normal distribution theory, known as the bell curve.
The company said during the Samsung Artificial Intelligence Forum that the name “reflects Samsung’s ultimate vision for the models, which is to take advantage of all the phenomena and knowledge in the world in order to harness the power of artificial intelligence to improve the lives of consumers everywhere.” The annual AI Forum hosted by Samsung Research and Samsung Advanced Institute of Technology for experts and academics since 2017 in Seoul.
Samsung said the model, developed by its research arm Samsung Research, is currently used for employee productivity within the company but will be expanded to include product applications in the future.
Samsung Gauss consists of Samsung Gauss Language, Samsung Gauss Code, and Samsung Gauss Image.
According to the tech giant, the language is a generative language model designed to enhance work efficiency by helping with tasks such as writing emails, document summarization and translation, Samsung said, and it can also enhance the consumer experience by providing smarter device control when applied to products. . The model itself is composed of different models to make it applicable on the cloud and on the device.
The code and coding assistant called code.i that it is based on was designed for internal software development for companies. Samsung said that it allows developers to program easily and quickly, and through an interactive interface that supports functions such as describing code and creating test cases.
At the same time, Photos can easily create and edit images, allowing for applying style changes and additions and converting low-resolution images to high-resolution, the tech giant added.
These models can be applied on-device to protect consumers’ private information while Samsung is also working to ensure the safe use of AI through its AI Red Team that checks for security and privacy issues that can occur during data collection, AI model development and service deployment. And through the results generated.