HONOR Magic6 set to Transform Mobile Technology with On-device LLM


Today, global technology brand, Honor announced some new details about its upcoming Honor Magic6 mobile phone. According to the company, this new device will come with the new Snapdragon 8 Gen 3 SoC. The company also reveals that this device will showcase the power of its on-device large language model (LLM). At the Snapdragon Summit 2023 in Hawaii, Honor said that its LLM has a parameter size of seven billion. Honor and Qualcomm collaborate and leverage their expertise to support on-device LLM. They also form a human-friendly ecosystem that allows an easy, smart connection across multiple devices.

HONOR Magic6

George Zhao, CEO of HONOR Device Co. Ltd said

“At HONOR, we are dedicated to pushing the boundaries of innovation and creating a more intelligent and intuitive user experience,” …  “We are committed to harnessing the power of AI to transform the way people interact with technology, making it more seamless, personalized, and impactful in their lives, with zero compromise on user privacy. We are thrilled to collaborate with Qualcomm Technologies, who share our vision to strive for human-centric excellence. Also, we will continue to drive innovation forward, working with partners in open collaboration to shape a future where AI empowers and enriches the lives of individuals around the world.”

“We are excited to work with HONOR to drive technological advancements with cutting-edge technologies,” commented Alex Katouzian, Senior Vice President and General Manager, Mobile, Compute and XR Devices, Qualcomm Technologies, Inc..

“We look forward to working with HONOR more closely to revolutionize the way people live, work, and connect, creating transformative experiences that will open up new possibilities in the ever-evolving world of AI.”

At the event, HONOR also showcased several enhanced MagicRing connectivity features to highlight the collaborative efforts between the two companies. The Honor Magic6 will also use these features.

Honor Magic6 On-Device LLM is different from Cloud LLMs

Honor’s on-device LLM is quite different from the popular cloud LLMs. Its workability is tied to the user, such that it offers a custom service based on the user’s needs. This is different from Cloud LLMs which use publicly accessible datasets. Honor and Qualcomm had to work together to come up with an on-device LLM that users can enjoy for their everyday activities. They focused on three core areas as shown below

  • Performance
  • Efficiency
  • User privacy

HONOR Magic6

The joint efforts resulted in optimizations that allow the mobile platform to take advantage of the LLM effectively. The company said that this feature does not draw a large amount of power. Honor also claims that data protection ensures that all user data remains safe and secure on the device.

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The on-device LLM with seven billion parameters will usher in a new era of generative AI according to Honor. The company also showcased the power of its AI in the video below. Honor released the demo AI video (video below) during its presentation. With a simple command prompt for the on-device smart voice assistant YOYO, users can easily create short videos featuring photos and footage stored on their devices. Templates, themes, and music for the videos can also be custom, with more prompts for custom results.

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On-device AI demo video from Honor

More features from Honor

At Snapdragon Summit 2023, Honor also showed an eye-tracking-based multimodal interaction called Magic Capsule. The company also showcased the three key features of MagicRing. These features are the

  • Connected Camera
  • Connected Input
  • Multi-device screen sharing.

Leveraging the latest Snapdragon Seamless technology, MagicRing allows for a greater variety of data to seamlessly move between devices. Honor claims that this new technology is more stable as well as more power-efficient than ever.

Moving forward, Honor said that it will remain open to collaborating with global partners. The company will continue its drive to cultivate an ecosystem of on-device AI technology. Honor also reveals that it will continue to contribute to the wider industry with human-centric innovation for an intelligent future.

Conclusion

Honor positions the Honor Magic6 as a mobile phone that can transform the mobile industry with its on-device LLM. The device comes with the Snapdragon 8 Gen 3 SoC and will feature an on-device LLM with seven billion parameters to usher in a new era of generative AI. The on-device LLM is distinct from cloud LLMs which make use of publicly accessible datasets. Honor’s on-device LLM draws from its understanding of the device’s users to provide custom services according to personal needs. Honor and Qualcomm are working together to make effective use of LLM without compromising power or data protection. What do you think about Honor’s on-device LLM? Let us know your thoughts in the comment section below

About HONOR

HONOR is a leading global provider of smart devices. It is dedicated to becoming a globally iconic technology brand and creating a new intelligent world for everyone through its powerful products and services. With an unwavering focus on R&D, it is committed to developing technology that empowers people around the globe to go beyond, giving them the freedom to achieve and do more. Also, the company offers a range of high-quality smartphones, tablets, laptops and wearables to suit every budget, HONOR’s portfolio of innovative, premium and reliable products enables people to become a better version of themselves.

Author Bio

Efe Udin is a seasoned tech writer with over seven years of experience covering a wide range of topics in the tech industry. From mobile phones to tablets, Efe has kept a keen eye on the latest advancements and trends, providing insightful analysis and reviews to inform and educate readers.

Disclaimer: We may be compensated by some of the companies whose products we talk about, but our articles and reviews are always our honest opinions. For more details, you can check out our editorial guidelines and learn about how we use affiliate links.

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