AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results show that scaling consistently improves performance, while multitask learning acts as a beneficial regularizer primarily for smaller-capacity models.
A data curation recipe that transforms audiobook recordings into TTS-ready data via WhisperX alignment and filtering is proposed, and Parler-TTS (880M), a prompt-based multilingual model whose pre-training encodes phonetic priors transferable to Greek is fine-tune.
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