Local models improve edge agents
A study published in arXiv cs.AI suggests that using small local models can significantly enhance the performance of agents running on edge devices. The research, which evaluates different architectures for executing user-provided tasks, finds that a hybrid approach combining cloud-written programs with local interpreters yields better results compared to purely cloud-hosted or device-only…
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Key points
- Local model improves edge agents' performance
- Hybrid architecture combines cloud programs with local interpreters
Read the original at arXiv cs.AI · by Boris Radovi\v{c}, Marco Canini, Veljko Pejovi\'c primary sourceOpen source ↗
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