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AutoMCU: Feasibility-First MCU Neural Network Customization via LLM-based Multi-Agent Systems

arXiv cs.LG · 2026-05-22 Cached

AutoMCU is a multi-agent system leveraging LLMs to automate neural network design for microcontroller units, significantly reducing customization time while ensuring feasibility under hardware constraints.

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#hardware-aware

@AYi_AInotes: Fellow developers working on LLM production deployment, check out Andrew Ng's new course. The free version gives you access to all videos and base code. This course is not another rerun of the 'Attention is All You Need' math derivation, nor another set of mystical prompt-tuning tricks, nor yet another toy...

X AI KOLs Timeline · 2026-05-14

Andrew Ng has launched a new course on LLM production deployment. The free version provides access to all videos and base code. The course dives deep into LLM internals, inference optimization (such as quantization, KV Cache, Flash Attention, speculative decoding), and hardware-aware optimization. Taught by AMD's VP of Engineering, it aims to help developers transform Transformer from an academic concept into a debuggable, optimizable engineering tool.

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