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Earlier this week at the Samsung AI Forum, the company announced the launch of a new generative AI model called Samsung Gauss.
The model, developed by Samsung Research, will reportedly be integrated with the Galaxy S24 Series in the first half of 2024.
It is made up of three sub-models:
- A language model – Samsung Gauss Language
- A coding assistant – Samsung Gauss Code
- An image generation model – Samsung Gauss Image
At this stage, Samsung hasn’t released much information on how these large language models (LLMs) will function but did give some information on potential use cases for Samsung Gauss Language.
The announcement press release said:
“Samsung Gauss Language, a generative language model, enhances work efficiency by facilitating tasks such as composing emails, summarizing documents, and translating content. It can also enhance the consumer experience by enabling smarter device control when integrated into products.”
The news arrives just weeks after Samsung announced the release of the Exynos 2400 Mobile processor, a potential power source for the Galaxy S24 series. Meanwhile, there are rumors that the organization might use the high-speed Qualcomm Snapdragon 8 Gen 3 chips.
Samsung’s launch of the Gauss Language model provides the company with a significant first-mover advantage. This positions them ahead of Apple, which is currently developing its own LLMs.
Everything We Know About Samsung Gauss So Far
Samsung Gauss was named after German mathematician Carl Friedrich, who popularized normal distribution theory, a concept that is used in machine learning (ML) to guide model development.
The model itself runs locally, which means that user input and data are processed on the local device rather than being sent back and forth to a centralized cloud server for processing. This not only enhances overall user performance but also adds an additional layer of security to safeguard user data from exposure to unauthorized third parties.
As mentioned above, Samsung Gauss is made up of three sub-models, the first, outlined above, acts as a natural language interface for executing tasks.
The next, Samsung Gauss Code and the accompanying coding assistant, code.i, are designed to enable code description and test case generation. This indicates that this model is intended to help developers streamline the software development workflow to automate the description of code samples.
Lastly, Samsung Gauss Image is a generative AI model that enables users to create and edit images or convert low-resolution images into high-resolution images. If this is readily accessible locally on Samsung devices, this could make the solution a solid alternative to DALL-E 3 and Midjourney for consumers.
Who is Samsung Gauss Targeting?
While Samsung Gauss could certainly be used in enterprise settings (particularly Samsung Gauss Code), overall, the tool appears to be focused on supporting the consumer market.
As the announcement press release noted, “the name reflects Samsung’s ultimate vision for the models, which is to draw from all the phenomena and knowledge in the world to harness the power of AI to improve the lives of consumers everywhere.”
Samsung Gauss Language will primarily be competing against solutions like ChatGPT and Bard, which are popular LLMs for non-enterprise users.
However, it’s important to highlight that Samsung hasn’t released any information about the training data or parameters that these models will use, so it’s difficult to evaluate just where it will rank in terms of capabilities.
Samsung’s Approach to “Responsible AI”
Since the release of ChatGPT in November 2022, generative AI vendors have attracted lots of criticism due to the tendency of LLMs to spread misinformation, bias, prejudice, or other harmful content.
In an attempt to address these risk factors, Samsung noted that the organization will be implementing AI red teaming to test potential risks that the models pose to user data and safety.
As the official press release noted, “Samsung 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 – rating from data collection to AI model development, service deployment, and AI-generated results – all with the principles of AI ethics in mind.”
The Bottom Line
While the details about Samsung Gauss are scarce at this stage, given that the organization occupies 20% of the global smartphone market share, it could become a key provider to watch going forward.
The main takeaway from this announcement is that vendors are looking to open access to generative AI so that it isn’t restricted to desktop devices but is accessible to users locally.
