AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work develops LLBPE, a version of BPE that represents the token sequence as an array-based linked list so that each merge reduces to a constant- time pointer update.
It is revealed that multi-turn interaction causes widespread performance degradation, incurring relative performance drops of up to 21% and increasing unreliability by 47%, making RAG systems simultaneously less accurate and less reliable.
This work proposes KGCache, an in-memory cache for one-hop knowledge graph neighborhoods, which is designed to be compatible with both iterative traversal (ToG) and one shot planning (RoG) KGQA paradigms and shows substantial entity reuse among starting entities and entities reached during traversal.
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