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Will The Meta-qualcomm Partnership With Llama 2 Take The Smartphone World By Storm?

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By Author: joy
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Qualcomm and Meta, formerly known as Facebook, have formed a groundbreaking partnership to introduce a revolutionary Large Language Model (LLM) named Llama 2. Scheduled for deployment in 2024, Llama 2 will be accessible on smartphones and computers powered by Qualcomm chips, unlocking advanced AI capabilities for users.

LLMs have gained immense popularity, particularly on Nvidia graphics processors in large server farms, propelling Nvidia's stock to a remarkable 220% surge this year. In contrast, Qualcomm, a prominent chip manufacturer for smartphones and PCs, has experienced more modest growth in the AI boom. However, the collaboration with Meta presents an opportunity for Qualcomm to position its processors as optimal for AI "on the edge," performing AI tasks directly on devices rather than relying on cloud-based data centers. This approach promises cost savings and faster AI applications, including voice assistants, while providing users with enhanced privacy and personalized experiences.

The catalyst behind Qualcomm and Meta's partnership was Meta's decision to make the "weights" of Llama publicly available. ...
... These weights determine the functioning of an AI model, and Meta's move enables academic institutions and businesses to run Llama 2 on their own computers without restrictions. In contrast, other popular LLMs like OpenAI's GPT-4 and Google's Bard keep their weights private, limiting accessibility.

The collaboration will integrate Meta's open-source Llama 2 models into Qualcomm devices, facilitating the development of practical tools such as smart virtual assistants. While Llama 2 offers comparable functionality to ChatGPT, its unique feature is its ability to be compressed into a mobile-friendly app, making it ideal for running on smartphones and other mobile devices.

Qualcomm's chips boast a specialized "tensor processor unit" (TPU) optimized for AI calculations. Although mobile devices have limited processing capacity compared to data centers with powerful GPUs, Qualcomm believes that the integration of Llama 2 can still deliver valuable AI experiences, especially with its efficient design.

Overall, the Qualcomm-Meta collaboration marks a significant leap forward in the AI industry, offering promising possibilities for AI applications on the edge. With Llama 2 available on Qualcomm-powered devices, users can anticipate enhanced AI experiences, increased accessibility, and improved privacy in AI-powered applications. This strategic alliance not only cements Qualcomm's position in the AI market but also propels both companies into a realm of rapid growth and technological advancement.


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