The revolution of on-edge LLMs: 

Maximizing the value of generative AI

Speakers

Ankit Kapoor

AI/ML Product Manager, Qualcomm

Jeff Monday

VP of Sales, Qualcomm Technologies, Inc.

Tom Mainelli

Group Vice President of Device & Consumer Research, IDC

Tom Mainelli

Group VP of Device & Consumer Research, IDC

Chris Pullam

Moderator, Content Strategist, CIO Marketing Services

Chris Pullam

Content Strategist & Host, CIO

According to a new study by Bain, 87% of organizations have already deployed or are now piloting generative, with adoption continuing to climb rapidly across all use cases. But at the same time, a recent report by BCG shows that 79% of business leaders are worried about related security issues – with another 50% worried about cost increases.

 

In this webinar, well discuss how small language models are helping organizations overcome some of the major challenges around generative AI adoption, including security and cost concerns, as well as a few high-profile uses cases made possible by AI PCs.

Key Discussion Points
  • Benefits of large language models (LLMs) and small language models (SLMs)
  • Practical use cases of SLMs in AI PCs
  • How Snapdragon’s technology is powering efficient workflows
Qualcomm relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Our leading-edge AI, high performance, low-power computing, and unrivaled connectivity deliver proven solutions that transform major industries. At Qualcomm, we are engineering human progress.

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