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Qualcomm makes generative AI accessible to everyone with hybrid AI

  • May 17, 2023
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Of course, artificial intelligence applications have become the theme of the year. With a shot from ChatGPT interest in this topic has grown not only among users, but

Of course, artificial intelligence applications have become the theme of the year. With a shot from ChatGPT interest in this topic has grown not only among users, but also among technology companies that are looking for more sustainable solutions with lower implementation costs.



Looking for ways to integrate generative AI into their operations, Qualcomm wants to use hybrid AI to make the process easier and more accessible.

Hybrid AI from Qualcomm

Qualcomm believes that hybrid processing to run AI technologies is becoming increasingly necessary as computing needs grow. The company shared a white paper outlining its thoughts on how to use hybrid AI as the next step. At the same time, it is expected that AI processing will be distributed across the cloud and devices so that AI can scale and reach its full potential.

05/07/2023 at 14:00
Article

10 games you can play with ChatGPT

Generative AI is capable of creating games from scratch and on the fly, such as tic-tac-toe, charades, and even role-playing games.

The AI ​​hybrid architecture distributes and coordinates AI workloads in the cloud and at the edge rather than just processing in the cloud. Cloud and edge devices—smartphones, cars, personal computers, and Internet of Things (IoT) devices—work together to deliver more powerful, efficient, and streamlined AI.



By applying this process, you can achieve cost savings. It is estimated that the cost of an AI-based generative search query increases by 10 times compared to traditional search methods – and this is just one of the many applications of generative AI that is more prevalent today, with AI systems capable of generating text or images in response to user queries. .

This integration will also increase the trust of users who will participate in this process through their devices. Thus, the execution will be distributed between the cloud and user devices when the task is very difficult. With the advent of more and more powerful devices, this integration is becoming more and more necessary, and useful AI models with more than 1 billion parameters are already running on phones with cloud levels of performance and accuracy, and models with 10 billion parameters or more are expected to work. on devices soon.

Qualcomm believes that hybrid AI is the future and that this approach is critical to scaling generative AI to meet the needs of businesses and consumers around the world.



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