AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Experimental results show that RL fine-tuning of Qwen3-32B via RobustTests achieves a 3% absolute gain on LiveCodeBench, demonstrating its effectiveness in advancing LLM code generation proficiency.
This work presents a stable and efficient training pipeline, incorporating algorithmic and system optimizations such as clipped importance sampling, training-inference ratio correction, and mixed-precision control, and proposes a structured evaluation framework across three dimensions: comprehensibility, reproducibility, and efficiency.
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