AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Nonparametric Bayesian Inverse Reinforcement Learning with a Dirichlet Process prior over reward functions is implemented, allowing the number of latent reward types to be inferred jointly with the rewards themselves.
Cross-encoders achieve high reranking accuracy in Retrieval-Augmented Generation (RAG) pipelines but impose quadratic inference costs that limit real-time deployment. We address this by fine-tuning LLaMA 3 (8B) as a drop-in reranker using a two-stage pipeline: supervised fine-tuning on a custom query-document relevance...
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