ternary neural networks,model optimization
Use three values (−1 0 +1).
189 technical terms and definitions
Use three values (−1 0 +1).
Generate tests from specifications.
Automatically create unit tests for code.
Adapt model during inference without labels.
Update model at test time.
Tetrad implements causal discovery algorithms like PC and FCI for learning directed acyclic graphs from data.
Encode prompts (CLIP ViT-L).
Edit images using text prompts.
Text-to-3D methods generate three-dimensional models from textual descriptions.
Ensure generated images match text.
Create images from text descriptions (DALL-E Midjourney Stable Diffusion).
Generate images from text.
Convert questions to SQL queries.
Text-to-video models generate video sequences from textual descriptions.
Generate video clips from text descriptions.
Learn new tokens from images.
Textual inversion learns new tokens representing concepts for personalized generation.
Learn new tokens representing specific concepts for generation.
Texture synthesis generates surface appearance through learned or procedural methods.
Temporal Graph Attention Network uses temporal encoding and functional time encoding for dynamic graph learning.
Temporal Graph Convolutional Network combines graph convolutions with gated recurrent units to capture spatial and temporal dependencies in dynamic graphs.
Temporal Graph Network maintains memory modules for nodes that are updated during temporal random walks for continuous-time dynamic graph learning.
Theory of constraints focuses improvement on system bottlenecks maximizing throughput.
Focus on bottleneck.
SiO2 grown by heating silicon in oxygen.
Thermal oxidizers combust VOCs at high temperature converting them to carbon dioxide and water.
Thermographic inspection detects abnormal temperatures indicating electrical or mechanical problems.
Measure temperature via reflectance changes.
AI helps threat modeling. Identify attack vectors.
Merge models by resolving conflicts.
Process image in tiles.
Tiling strategies partition computations into cache-friendly blocks improving memory hierarchy utilization.
Time series decomposition separates signals into trend seasonal and residual components for analysis and forecasting.
Time-aware attention mechanisms weight edges by recency and temporal patterns in dynamic graphs.
Maintain on fixed schedule.
Model oxide breakdown.
Time-lagged convergent cross mapping identifies optimal delays for detecting causality in nonlinear dynamical systems.
Time-resolved photoemission correlates emission timing with circuit activity isolating intermittent or dynamic failures.
Timeouts halt agent execution after specified duration preventing runaway processes.
Timeout handling cancels long-running requests preventing resource exhaustion.
Encode diffusion timestep.
timm (PyTorch Image Models) has hundreds of pretrained vision models. Transfer learning.
Machine learning on microcontrollers.
Defect localization using laser heating.
Thermally-Induced Voltage Alteration uses localized heating to modulate pn junction characteristics revealing resistive opens and other defects.
Together AI provides LLM APIs and fine-tuning. Competitive pricing. Open model hosting.
Token bucket algorithm allows bursts while maintaining average rate limits.
Token budgets limit context length for cost and latency management.
Maximum number of tokens an LLM can process or generate in a single request or conversation turn.
Token dropping discards excess tokens when expert capacity is exceeded.