Generative artificial intelligence is reaching small firms in emerging economies with unusual speed, because it is rented, not built, and is operated through ordinary language instead of code. This paper develops a conceptual framework that explains when and how generative AI use improves innovation performance in emer...
Aaron Whitfield, Maya Lindqvist· Digital Enterprise Studies· 0 citations
Mixture-of-LoRA-experts methods raise the capacity of low-rank adaptation by routing each token to a few low-rank experts. Nearly all of them tie one input-side factor to one output-side factor per expert, and nearly all of them route by scoring the token: the router picks experts without seeing what any of them would...
Priya Nair, Lukas Brenner, Maya Lindqvist et al.· 0 citations
This work introduces CARE (Confidence-Adaptive Routing of Experts), which admits experts in a nucleus fashion and improves over fixed top-k MoE-LoRA at matched compute and matches the fixed-k=4 baseline while activating fewer experts.
Tom Saliencro, Rohan Desai, Priya Nair et al.· arXiv.org· 1 citation
Mixtures of low-rank adaptation experts increase parameter-efficient capacity by routing each input through a subset of adapters. Recent dynamic routers activate more experts when the router or prediction is uncertain. This rule silently equates uncertainty with useful additional computation: an uncertain example may c...
Tom Saliencro, Rohan Desai, Priya Nair et al.· 2 citations
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