AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is proved that the token distribution rapidly concentrates onto the push-forward of the initial distribution under a projection map induced by the key, query, and value matrices, and remains metastable for moderate times.
This work establishes a connection between the so-called consensus hopping as introduced by Riedl et al. and natural evolution strategies commonly applied in the context of adversarial attacks and rigorously relate both methods to gradient-based optimization schemes.
A reparametrisation scheme is proposed, which provably estimates such a coordinate transformation and then applies CBO in the new variables and shows how this scheme can be interpreted as noise adaptation in CBO.
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