ALL >> Technology,-Gadget-and-Science >> View Article
Will The Meta-qualcomm Partnership With Llama 2 Take The Smartphone World By Storm?
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.
https://www.techdogs.com/tech-news/td-newsdesk/will-the-meta-qualcomm-partnership-with-llama-2-take-the-smartphone-world-by-storm
Add Comment
Technology, Gadget and Science Articles
1. Scrape Dmart Product Data - Analyze Assortment DepthAuthor: Actowiz Solutions
2. How To Reduce Return Rates With Ai: A Complete Guide For Ecommerce Brands
Author: Rick Cramer
3. Web Scraping Best Buy Us Data - Smarter Pricing Intelligence
Author: Actowiz Solutions
4. Muriate Of Potash (mop) Market Analysis: Forecast, Segments, And Regional Insights
Author: Shreya
5. How Productivity And Time Tracking Software Improve Modern Workflows
Author: Raman Singh
6. How Coworking Software Is Powering The Next Generation Of Real Estate Marketplaces
Author: Smithjoee
7. Global Occupant Monitoring Systems Market: Growth Outlook, Technology Trends, And Safety Applications (2026–2036)
Author: Shreya
8. Phone Accessories Dubai: Fast Chargers & Smart Earbuds For Dubai In 2026
Author: ready2resale
9. Redefining Recognition: A Smarter Way To Manage Awards And Certificates
Author: Awardocado
10. Scrape Amazon Prime Video Results For Trending Content Analysis
Author: REAL DATA API
11. Extract Pistorone Product Data For Supplement Trend Insights
Author: Web Data Crawler
12. Redefining Event Experiences Through Advanced Digital Ticketing Solutions
Author: Enseur
13. Pincode Wise Instamart Search Keyword Data Scraping
Author: Fooddatascrape
14. Extract Api For Choithrams Grocery Data In Uae
Author: Food Data Scraper
15. Inventory Missing Again? End Warehouse Chaos With Focus Wms
Author: Focus Softnet






