How to Run AI Models Locally on Your Phone: The Complete Guide to Google AI Edge Gallery
1 months ago 高效码农How to Run AI Models Locally on Your Phone? The Complete Guide to Google AI Edge Gallery Have you ever wanted to run AI models on your phone without an internet connection? Google’s new open-source app, AI Edge Gallery, makes this possible. This completely free tool supports multimodal interactions and works seamlessly with open-source models like Gemma 3n. In this guide, we’ll explore its core features, technical architecture, and step-by-step tutorials to help you harness its full potential. Why This Tool Matters Google AI Edge Gallery Interface According to Google’s benchmarks, AI Edge Gallery achieves a 1.3-second Time-To-First-Token (TTFT) when …
Implementing Local AI on iOS with llama.cpp: The Complete Guide to On-Device Intelligence
1 months ago 高效码农Implementing Local AI on iOS with llama.cpp: A Comprehensive Guide for On-Device Intelligence Image Credit: Unsplash — Demonstrating smartphone AI applications Technical Principles: Optimizing AI Inference for ARM Architecture 1.1 Harnessing iOS Hardware Capabilities Modern iPhones and iPads leverage Apple’s A-series chips with ARMv8.4-A architecture, featuring: Firestorm performance cores (3.2 GHz clock speed) Icestorm efficiency cores (1.82 GHz) 16-core Neural Engine (ANE) delivering 17 TOPS Dedicated ML accelerators (ML Compute framework) The iPhone 14 Pro’s ANE, combined with llama.cpp’s 4-bit quantized models (GGML format), enables local execution of 7B-parameter LLaMA models (LLaMA-7B) within 4GB memory constraints[^1]. 1.2 Architectural Innovations in …