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Alibaba's Qwen3.8-27B running fully local on Apple Silicon: llama.cpp setup, measured benchmarks, speculative decoding, and a Claude Code bridge via LiteLLM.
Meta's Muse-Glimmer-30B running fully local on Apple Silicon: llama.cpp setup, measured benchmarks, speculative decoding, and a Claude Code bridge via LiteLLM.
Two Arduino UNO Q LLMs playing customer and customer service agent.
Real-time ASL fingerspelling recognition running locally on an Intel® AI PC. A DINOv2-Small classifier is trained in Intel® Geti™
Benchmarking Qwen3.6 MoE on Intel integrated graphics. Measuring accuracy, not just throughput.
A curated list of OpenVINO based AI projects
A repository of Edge Impulse examples, using the Edge Impulse platform to create intelligent IoT devices.
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