🏷️🤖 AI & Tech
Comprehensive Guide to 2026 On-Device AI & Small Language Models (SLM): Privacy, Mobile NPU Acceleration & WebLLM Optimization
An in-depth technical analysis of on-device AI and SLM architectures: 4-bit quantization (AWQ/GGUF), mobile NPU hardware acceleration, WebGPU/WebLLM browser execution, and zero-latency local RAG pipelines.
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사냥개 IT·AI소프트웨어연구팀
IT & 소프트웨어 테크 연구팀
📅 2026-08-26⏱️ 25 min read
# Comprehensive Guide to 2026 On-Device AI & Small Language Models (SLM)
A definitive systems engineering deep-dive into on-device AI architectures, exploring the economic and latency bottlenecks of centralized cloud LLMs, mathematical principles of 4-bit AWQ/GGUF quantization, mobile NPU hardware acceleration pipelines (Apple ANE & Qualcomm Hexagon), WebGPU/WebLLM browser execution, and zero-latency client-side RAG pipelines.
태그:#온디바이스AI#소형언어모델#SLM#NPU#WebLLM#양자화#프론트엔드AI#인공지능
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사냥개 동물지식연구소 (Sanyanggae Lab)
반려동물 양육 케어, 포유류 생태, 조류 및 해양 생물학 전반의 전문성 높은 지식을 연구하고 검증된 칼럼을 제공합니다.
