AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces Pref-MH, a general exact MH sampler for judge-induced conditional distributions using only stochastic binary pairwise comparisons, and develops a valid accept/reject rule whose resulting Markov chain provably converges to the target distribution.
Inference-time selection methods, such as Best-of-N, improve generation by sampling a pool of candidates and selecting the top-ranked completion according to a reward model. Distillation seeks to amortize this procedure into a single policy by replacing raw rewards with in-pool ranks and learning a policy that upweight...
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