synthetic data,data augmentation,gen
Synthetic data generated by models augments training. Helps with rare cases, privacy, and scale.
9,967 technical terms and definitions
Synthetic data generated by models augments training. Helps with rare cases, privacy, and scale.
Synthetic data generation preserves privacy. Train on fake data.
Recognize AI-generated content.
Create realistic synthetic medical data.
Generated reasoning examples.
System audits evaluate entire quality management system effectiveness.
Comprehensive documentation of AI system.
I can walk you through system design interviews or real architectures: load balancers, caching, sharding, and HA/failover.
High-level instructions for model behavior.
System messages set behavior guidelines and context for conversation.
Attempt to recover hidden system instructions.
System prompt sets model behavior and context. First message in conversation. Defines persona.
System prompt defines the model behavior (role, style, boundaries). It is the always-on instruction that user prompts must follow.
Predict system-level reliability.
System scaling improves performance through integration and architecture rather than shrinking.
Integrate multiple dies or components in single package.
Optimize across system architecture and technology.
Systematic defect patterns repeat predictably indicating equipment or design issues.
Systematic defects occur reproducibly at specific locations from design or process interactions.
Repeating defect patterns.
Systematic sampling selects every nth unit providing convenient coverage.
Repeating pattern across wafers.
Systematic variations follow predictable patterns from layout-dependent effects.
Predictable threshold voltage shifts.
Predictable WID patterns.
Predictable repeatable yield loss.
Systematic yield loss results from deterministic process variations or design marginalities affecting specific die locations.
Systolic arrays efficiently compute matrix multiplications. Used in TPUs. Data flows through processing elements.
T-closeness ensures sensitive attribute distribution within groups matches overall distribution.
Distribution of sensitive attributes similar across groups.
Gate shape for high-frequency transistors.
Multivariate control chart.
T-tests compare means between groups or against reference values.
Zero-shot instruction-following model.
T0 trains models on prompted datasets converted to unified text-to-text format.
Lightweight control adapter.
Improved tokenization for ViT.
Treats all NLP tasks as text-to-text problems.
Test Analyze and Fix methodology systematically eliminates failure modes improving reliability.
Describe tabular data in text.
Tabnine is AI code completion. Local model option for privacy.
Tacotron is an end-to-end text-to-speech model that synthesizes speech from text using attention-based sequence-to-sequence learning.
Tacotron 2 improves on Tacotron by predicting mel-spectrograms with WaveNet vocoder for high-quality natural speech synthesis.
Target Attentive Graph Neural Networks apply target-aware attention to session graphs for improved next-item recommendation.
Robust design using orthogonal arrays.
Remove low-probability tail.
Take-back programs enable manufacturers to collect used products for recycling or proper disposal.
Takt time is available production time divided by customer demand rate setting pace.
Rate of customer demand.
Learn to redistribute attention across heads.