random search,model training
Sample random hyperparameter combinations.
536 technical terms and definitions
Sample random hyperparameter combinations.
Random search samples hyperparameter space. Often beats grid.
Control randomness for reproducibility.
No clear pattern in failures.
Variable-length masked spans.
Randomly select gradients to send.
Use random attention patterns.
Random variations are unpredictable parameter differences from fundamental stochastic processes.
Statistical Vth fluctuations.
Unpredictable WID.
Unpredictable yield loss from random defects.
Random yield loss arises from stochastic defects distributed probabilistically across wafers.
Provable robustness via smoothing.
Combination of RAdam and LookAhead.
Build hierarchical summaries of document chunks for multi-level retrieval.
Rare earth recovery extracts valuable lanthanides from electronic waste for reuse.
Rasa is open source conversational AI. NLU, dialog management.
Rate limiting restricts request frequency preventing abuse and ensuring fair access.
Restrict number of requests to prevent abuse.
Rational subgroups contain units produced under homogeneous conditions for within-group estimates.
Render by stepping along rays.
Ray marching samples points along rays through scene accumulating color and opacity.
Ray Tune is distributed hyperparameter tuning. Many algorithms.
Ray is distributed computing framework. Simple parallelism. Ray Train, Ray Serve for ML.
Flip-flops detecting timing errors.
Responsible Business Alliance establishes labor rights and environmental standards for electronics supply chains.
Resistance-capacitance delay in interconnects.
Classic two-step cleaning (SC1 then SC2) developed by RCA.
Refine initial retrieval results.
Re-ranking adjusts initial recommendation lists to optimize secondary objectives like diversity novelty or fairness while maintaining relevance.
After initial retrieval re-score documents with a more powerful model to improve relevance.
Adjust sampling to handle imbalance.
Compute reachable output set.
Reachability analysis computes safe state sets ensuring policies can always reach safe regions.
Agent pattern where model alternates between reasoning steps and taking actions.
Interleave reasoning and actions.
ReAct interleaves reasoning and actions enabling language models to interact with tools.
ReAct: Reason → Act → Observe loop. Model thinks, calls tool, reads result, repeats. Standard agent pattern.
Suggest optimal reaction conditions.
Extract chemical reactions from text.
Reaction plans specify actions when processes deviate from normal operation.
Predict products of chemical reactions.
Temperature at which CVD reactions occur efficiently.
Another term for RIE lag in high-aspect-ratio features.
Etch samples for analysis.
Generate README files. Project setup, usage examples.
Readout functions aggregate node features into graph-level representations for classification or regression tasks.
Choose appropriate reagents for synthesis.
Practical super-resolution.
Real-ESRGAN uses adversarial training for practical blind super-resolution.