right first time, rft, quality
Do it correctly initially.
9,967 technical terms and definitions
Do it correctly initially.
Right to deletion allows users to request removal of their personal data.
Users can request explanation for automated decisions.
Bandwidth-optimal all-reduce.
Ring AllReduce passes gradients around ring of GPUs. Tree topology for hierarchical systems. Bandwidth-optimal.
Distribute attention computation across devices in ring topology.
Track frequency degradation.
Simple circuit to measure delay.
Ring patterns on wafer maps indicate radial uniformity issues from spin processes or thermal gradients.
Ringing oscillations occur from impedance mismatches and insufficient damping in signal paths.
Ripple Network propagates user preferences through knowledge graphs using multi-hop relational paths for recommendation.
Identify legal risks in documents.
Account for varying risk levels.
Risk-sensitive reinforcement learning optimizes risk measures like CVaR instead of expected return for robustness.
Fast RL via slow RL.
RL^2 treats entire RL algorithm as RNN enabling meta-learning of exploration and credit assignment strategies.
Use AI instead of human feedback.
Reinforcement Learning from AI Feedback replaces human preferences with AI judgments.
RLGC extraction computes resistance inductance conductance and capacitance per unit length for transmission lines.
Process for handling defective chips.
RMS current averaging accounts for time-varying currents in electromigration analysis.
Efficient normalization for vision transformers.
Simpler alternative to LayerNorm.
Recurrent Marked Temporal Point Process uses RNNs to jointly model event timings and marks for asynchronous event sequence prediction.
Design RNA sequences.
Random Network Distillation provides exploration bonuses by measuring novelty through the prediction error of randomly initialized target networks.
RNN-Transducer enables streaming ASR by emitting outputs as soon as sufficient context is available.
RNN-Transducer is an end-to-end streaming speech recognition model that jointly learns acoustic and language modeling through forward-backward algorithm.
Ask for a learning roadmap and I will design step-by-step study plans with stages, milestones, and daily/weekly actions.
AI roadmap: balance quick wins with long-term capabilities. Prioritize by impact and feasibility. Stay agile.
Robustly optimized BERT with better training procedures.
Roboflow provides computer vision pipeline. Dataset management, training, deploy.
Automated arm that picks and places wafers in tools.
Robot handling automates wafer transfer between stations and equipment.
Use language models to control robots.
Embodied AI uses LLMs/VLMs to control robots. Model plans actions, vision perceives world, actuators execute.
Robot learning: manipulation, locomotion, navigation. Sim-to-real transfer. Foundation models for robots.
Defend against Byzantine clients.
Resistant to outliers.
Design insensitive to variation.
Robust design optimizes performance consistency across varying conditions.
Handle outliers and noise.
Optimize for worst-case scenarios.
Optimize for insensitivity to noise.
Train models to be adversarially robust.
Evaluate against perturbations.
Handle different phrasings.
Watermark survives text modifications.
Robustness ensures consistent safe behavior across diverse inputs and conditions.
ROC curve shows TPR vs FPR. AUC measures overall quality.