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Preference Fine-Tuning LFM 2 Using DPO

Liquid Foundation Models (LFM 2) define a new class of small language models designed to deliver strong reasoning and instruction-following capabilities directly on edge devices. Unlike large cloud-centric LLMs, LFM 2 focuses on efficiency, low latency, and memory awareness while still maintaining competitive performance. This design makes it a compelling choice for applications on mobile […]

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The post Preference Fine-Tuning LFM 2 Using DPO appeared first on Analytics Vidhya.

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