Coming With An On-Device Generative AI System Is The MediaTek Dimensity 9300 Cipset:
The AI revolution, which is bringing previously unimaginable innovations to day-to-day life, is being led by generative AI, which is at the forefront of this revolution. MediaTek Dimensity 9300 Coming With An On-Device Generative AI System. Just one month ago, Meta presented Llama 2, its very own open-source artificial intelligence model. It would appear that the upcoming AI model has already made its way into the one piece of technology that we essentially cannot live without, and that is our smartphones. Let’s take a look at how generative artificial intelligence is implemented in MediaTek’s chipsets.
The MediaTek Dimensity 9300 Will Make Use of Meta’s Llama 2 Platform:
In an official blog post, MediaTek stated that it is “working closely” with Meta to use its Llama 2 Large Language Model (LLM) in order to release its next-generation flagship chipset, which is possibly the Dimensity 9300, later this year. This chipset will enable generative AI capabilities on-device and will be MediaTek’s next-generation flagship product. This indicates that you will soon be able to purchase a high-end smartphone equipped with a MediaTek Dimensity chipset and take advantage of mobile AI features!
You might be wondering how this is any different from the way that we currently access and make use of generative AI. The answer lies in the manner in which it is presented to the reader. The majority of generative AI that is processed today is done so through the use of cloud computing. On the other hand, the partnership between MediaTek and Meta will make it possible for AI processing to take place locally on your device rather than in the cloud. To put it succinctly, artificial intelligence (AI) will, in the not-too-distant future, be “embedded” in the processor of your smartphone.
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Your interaction with generative AI will be sped up as a result, and the way in which you interact with it in the future may be altered as a result of this. Another essential thing to keep in mind is the confidentiality of the users. Because this on-device implementation will store and process the AI data locally within your smartphone, it will result in improved security and user control over personal data. In addition, the user will have more direct access to their own data.
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