k-anonymity, training techniques
K-anonymity ensures each record is indistinguishable from at least k-1 others.
24 technical terms and definitions
K-anonymity ensures each record is indistinguishable from at least k-1 others.
k-dimensional Weisfeiler-Lehman test extends standard WL providing stronger graph isomorphism testing.
Kaizen events are focused improvement workshops targeting specific problems over short duration.
Kaizen suggestions propose incremental improvements from frontline workers.
Kaizen is continuous incremental improvement philosophy engaging all employees.
Kalman filter provides optimal linear state estimation for Gaussian state space models through recursive prediction and update steps.
Kanban is a pull-based inventory management system using visual signals to trigger material replenishment based on consumption.
Kernel fusion merges adjacent GPU operations eliminating intermediate memory writes.
Kirkendall voids form at bond interfaces from differential diffusion rates weakening interconnections.
Augment LM with nearest neighbor retrieval.
Distill large model to small for edge.
Different distillation approaches.
Knowledge distillation trains compact student models to mimic larger teacher model predictions.
Train small student model to mimic large teacher model.
Modify specific facts in models.
Update model's factual knowledge without full retraining.
Knowledge graph embeddings map entities and relations to vectors for link prediction and reasoning.
Learn representations of KG entities and relations.
Find where knowledge is stored.
Neurons storing factual knowledge.
Networks using learnable activation functions on edges.
Multimodal large language model from Microsoft.
KV cache stores key-value attention states avoiding recomputation during generation.
Cached key-value pairs from previous tokens to speed up autoregressive generation.