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This article explains on-device inference - the practice of running AI models directly on user devices rather than in the cloud - and why it matters for privacy, performance, and scalability in modern AI applications.
This explainer explains the concept of on-device AI inference and how the new LFM2.5-230M model from Liquid AI is enabling smart AI capabilities directly on smartphones and low-cost devices.
This explainer explores the advanced Mixture of Experts (MoE) architecture used in Liquid AI's LFM2.5-8B-A1B model, examining how sparse parameter activation enables powerful on-device AI capabilities.
