negative caching, rag
Cache non-matches.
265 technical terms and definitions
Cache non-matches.
Use ferroelectrics to boost performance.
Specify what to avoid.
Negative prompting specifies undesired attributes guiding generation away from certain features.
Specify what NOT to generate to avoid unwanted elements.
Exposed areas become insoluble and remain.
Negative sampling in recommendations contrasts positive items with randomly sampled negatives during training.
One task hurting another.
Attend to neighboring patches.
Use nearby die results to infer.
Neighborhood sampling limits aggregation to random subsets of neighbors reducing computational cost in large graphs.
Alternative control chart rules.
NeMo Guardrails is programmable safety layer. Colang language. NVIDIA open source.
Neon is serverless PostgreSQL. Branching, autoscale.
Neptune.ai tracks ML metadata. Flexible logging. Team collaboration.
ML experiment management.
E(3)-equivariant network for atomistic simulations.
Neural Equivariant Interatomic Potentials combine E(3) equivariance with message passing for molecular dynamics.
Volume rendering formulation.
Optimize NeRF from images.
NeRF synthesizes novel views by volumetrically rendering scenes from learned implicit representations.
Hierarchical experimental structure.
Hierarchical experimental structure.
Handle entities within entities.
Net delay includes RC delay driver delay and interconnect propagation time affecting circuit timing.
Net die count includes only die meeting minimum size and probe criteria excluding edge and partial die.
Net zero emissions balance residual greenhouse gas releases with equivalent removals or offsets.
Critical network performance metric.
Network dissection evaluates semantic meaning of individual neurons by correlating with interpretable concepts.
Transform networks while preserving function.
Remove entire structures like filters.
Remove individual weights.
Additive models using neural shape functions.
Neural architecture distillation transfers architectural knowledge not just parameter values.
Generate architectures automatically.
Automatically discover optimal model architectures.
Sophisticated AutoML for architecture discovery.
Find architectures suitable for edge.
NAS automatically finds optimal architectures. Search space, search algorithm, evaluation. Expensive but effective.
Transfer architectures across tasks.
Neural articulation represents articulated objects with learned kinematic structures.
Neural beamforming learns spatial filters through deep learning rather than classical signal processing.
Neural caching stores and reuses intermediate computations for similar inputs reducing redundancy.
Neural Collaborative Filtering replaces inner products with multi-layer perceptrons to learn complex non-linear user-item interactions.
Neural Chat is Intel-optimized chat model. Runs well on Intel hardware.
Control policies implemented as interpretable neural circuits with liquid time constants.
Policies implemented as neural circuits.
Neural codecs compress audio or images using learned representations for efficient transmission.
Neural constituency parsing uses recursive or tree-structured neural networks to predict hierarchical phrase structure trees.
Use neural networks to parameterize CDEs.