On-Device Generative AI
As part of Mediatek’s continuous investment in developing technology and an ecosystem that supports the future of AI, they announced in August of last year that they are closely collaborating to leverage Llama 2, Meta’s open-source Large Language Model (LLM). Specifically, they are leveraging the power of Llama 2 along with their most recent APUs and NeuroPilot AI platform to enable generative AI apps to run natively on-device instead of relying solely on cloud computing.
Developers and users benefit from on-device (or edge) generative AI in several ways, including seamless performance, increased privacy, improved security and dependability, reduced latency, the capacity to operate in places with little to no connectivity, and lower operating costs.
To enable Llama 2 integration on-device, they require chipsets that are capable of managing the required workload without requiring cloud support. Both the MediaTek Dimensity 9300 and 8300 SoCs which were both revealed toward the end of the previous year are fully optimized and integrated to support Llama 2 7B applications.
For the first time, MediaTek will showcase an enhanced Llama 2 Generative AI application on a mobile device at Mobile World Congress 2024, utilizing MediaTek’s APU edge hardware acceleration on the Dimensity 9300 and 8300. A tool for creating social media-ready summaries of articles and other long-form copy is included in the demo. Visit them at Hall 3 Booth 3D10 to experience it.
Meta’s Llama 2 LLM powers MediaTek’s On-Device Generative AI at MWC 2024
MediaTek’s advanced Llama 2 Large Language Model-powered on-device generative AI demonstration at Mobile World Congress 2024 is making waves. Its revolutionary technology will improve smartphone performance, privacy, and creativity.
On-Device Generative AI: What is it?
Traditionally, cloud computing has been used for processing in generative AI applications like text-to-image generation and video editing. This method may be laborious, data-intensive, and cause privacy issues. This barrier is broken by MediaTek’s innovation, which allows generative AI to operate directly on the chipset of smartphones.
What Makes Llama 2 LLM Significant?
Meta AI’s Llama 2 is an extremely effective and adaptable LLM. Through its integration with the NeuroPilot AI platform and the Dimensity 9300 and 8300 SoCs, MediaTek establishes a potent AI environment that runs on devices. Improved data privacy, reduced power consumption, and quicker processing speeds are all made possible by this.
What advantages does On-Device Generative AI offer?
This discovery has the power to completely change the way we use smartphones:
- Faster Performance: Instantaneous outcomes devoid of cloud processing latency.
- Enhanced Privacy: Lessening security risks, sensitive data stays on the device.
- Applications can operate offline, even in the absence of an internet connection.
- Greater Accessibility: Provides a broader spectrum of users with democratic access to AI tools.
- Creative Unleashing: Provides opportunities for creative personalization and content creation.
What applications are on display?
At MWC 2024, MediaTek will be showcasing a range of on-device generative AI applications.
- SDXL Turbo: A text-to-image engine that creates images in response to commands from the user.
- Video Diffusion Generation: Produces brief films with various animation techniques.
- Real-time video scenes are integrated with user avatars through LoRA Fusion.
These illustrations highlight the possibilities of generative AI for on-device applications and open the door to fascinating new directions.
On-Device Generative AI’s Future
With MediaTek’s demonstration, they are getting closer to a time when their devices will have powerful AI built right in. This has enormous potential for some industries, including personalized entertainment and education as well as increased productivity and accessibility. Mediatek may anticipate even more cutting-edge developments and applications as this technology progresses, which will profoundly alter how they engage with it.
FAQS
What are the most popular generative AI tools?
When it comes to generative AI tools for images, StyleGAN is also a good choice. It creates realistic, high-quality images using deep learning algorithms. Its capacity to produce aesthetically pleasing images greatly helps startups in a variety of ways.
What is Llama 2 used for?
Optimized models have demonstrated their potential to accelerate content creation in a number of ways. You can create clever tweets, engaging social media posts, and web content with Llama 2.
What does 7B mean in Llama 2 7B?
7B stands for seven billion parameters. – 8K length indicates that the input/output has a size of 8K tokens. 1.5T tokens denote the 1.5T token count in the training set.
How many layers are there in Llama 2 7B?
It will only train the final 8 of the 32 transformer layers in Llama 2-7b. You can play around with the number of layers that you freeze. The final layer, known as the classification head, is what you should always be training.
What are the real life applications of generative AI?
Thanks to its assistance in genomic analysis, medical imaging, and drug discovery, generative AI has completely transformed the life sciences sector. It makes it possible to produce high-resolution medical images, like MRIs and CT scans, which help doctors and researchers make precise diagnoses.
