Mastering On-Device GenAI: How to Fine-Tune LLMs for Android Using LoRA and Kotlin 2.x
The article explores how Android developers can fine-tune large language models (LLMs) directly on devices using Low-Rank Adaptation (LoRA) and Kotlin 2.x, addressing memory and storage constraints. It highlights Google's AICore as a critical system-level component enabling efficient on-device AI processing. The guide provides a technical blueprint for building specialized, multi-persona AI applications that operate entirely locally without relying on cloud infrastructure.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3681483) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Programming Central Posted on Apr 30 • Originally published at programmingcentral.hashnode.dev Mastering On-Device GenAI: How to Fine-Tune LLMs for Android Using LoRA and Kotlin 2.x #android #kotlin #ai Book 1 Android Kotlin & AI Masterclass (8 Part Series) 1 Android AICore: The Architectural Deep Dive into Google’s System-Level AI Provider 2 Beyond the Cloud: The Developer’s Guide to Mastering Gemini Nano on Pixel and Samsung Devices ... 4 more parts...
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