AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work argues that future entropy is also essential for LLM decoding, and estimates its lower and upper bounds by computing the lower and upper bounds on a hidden Markov model (HMM), which is distilled as a surrogate of the LLM.
This paper formalizes the problem of KV eviction and proves that it is computationally hard, and shows that this probabilistic version of KV eviction coupled with decode time correction is more robust to different tasks compared to existing eviction methods and achieves competitive performance at the same compression b...
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