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EPISODE 711  |  
December 3, 2024
Today, we're joined by Arash Behboodi, director of engineering at Qualcomm AI Research to discuss the papers and workshops Qualcomm will be presenting at this year’s NeurIPS conference. We dig into the challenges and opportunities presented by differentiable simulation in wireless systems, the sciences, and beyond. We also explore recent work that ties conformal prediction to information theory, yielding a novel approach to incorporating uncertainty quantification directly into machine learning models. Finally, we review several papers enabling the efficient use of LoRA (Low-Rank Adaptation) on mobile devices (Hollowed Net, ShiRA, FouRA). Arash also previews the demos Qualcomm will be hosting at NeurIPS, including new video editing diffusion and 3D content generation models running on-device, Qualcomm's AI Hub, and more!
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November 18, 2024
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November 11, 2024
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Retrieval-augmented generation promised to bring ChatGPT’s magic to enterprise data. But while organizations rushed to build chatbots, they often struggled to deliver real business value. This comprehensive guide reveals RAG’s full potential beyond conversational interfaces.

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