AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Supervised fine-tuning datasets remain overwhelmingly English-centric and commercially restricted, as their content is frequently generated by proprietary models whose terms of service forbid training competing systems. We introduce Multi-SFT, a commercially permissive collection of 502,818 instruction-response pairs a...
A framework that orchestrates human and AI agency to produce high-fidelity multilingual Socratic hints at scale is presented, and a component contribution analysis demonstrates that removing any pipeline stage degrades yield from 98% to as low as 38%.
Experiments with six LLAMA and MISTRAL models show that LoRA substantially improves dialogue generation while requiring only 25-50% of the training data to recover over 90% of the final performance gains, and zero-shot evaluation with frontier LLMs shows that TalkFa remains a challenging benchmark.
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