AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In Mixture-of-Experts language models, the router typically selects and weights experts based on the token's hidden state, utilizing limited contextual information. We propose Attention-Aware Routing (AAR), which augments the router with temporal and spectral features extracted from a sliding window of attention weight...
A unified evaluation framework testing gradient and loss-based balancing strategies under controlled settings, and a theoretical diagnosis explaining why these methods fail, as they conflate fitting speed with discriminative contribution are provided.
Modern TTS systems approach human quality for high-resource languages but degrade when clean speech data is scarce. Modern Greek exemplifies this, lacking the curated corpora behind state-of-the-art synthesis. We propose a data curation recipe that transforms audiobook recordings into TTS-ready data via WhisperX alignm...
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