AI Factory Glossary

team training,internal course,playbook

I can help you turn your knowledge into internal docs, playbooks, or mini-courses for onboarding your team.

technical debt identification, code ai

Find areas needing refactoring.

technical debt,refactor,maintain

AI tech debt: hacky prompts, hardcoded logic, missing tests. Schedule time to refactor and maintain.

temperature calibration,ai safety

Adjust temperature for better calibrated probabilities.

temperature distillation, model optimization

Temperature parameter in distillation softens predictions revealing relative class probabilities.

temperature in distillation, model compression

Soften probability distributions.

temperature-humidity-bias failure analysis, thb, failure analysis

Investigate THB failures.

temporal coding,neural architecture

Encode information in spike timing.

temporal consistency, multimodal ai

Temporal consistency ensures smooth transitions and coherent motion across video frames.

temporal fusion transformer, time series models

Temporal Fusion Transformer combines LSTM encoder-decoder with multi-head attention for interpretable multi-horizon time series forecasting with covariates.

temporal graph networks,graph neural networks

GNNs for dynamic graphs.

temporal information extraction, healthcare ai

Extract time-related medical info.

temporal point process gnn, graph neural networks

Temporal point process GNNs model event sequences on graphs through learned intensity functions.

temporal point process, time series models

Temporal point processes model event sequences in continuous time by specifying conditional intensity functions governing event occurrence rates.

temporal random walk, graph neural networks

Temporal random walks respect edge timestamps when sampling paths for representation learning.

temporal smoothing, graph neural networks

Temporal smoothing in dynamic graphs regularizes learned representations to change gradually over time.

tensor decomposition for chemistry, chemistry ai

Represent chemical tensors efficiently.

tensor decomposition, model optimization

Tensor decomposition factorizes weight tensors reducing parameters while maintaining capacity.

tensor field network, graph neural networks

Tensor field networks achieve equivariance through tensor product operations on irreducible representations of rotation groups.

tensor fusion, multimodal ai

Outer product of modality features.

tensor parallelism,model training

Split individual tensors/layers across devices.

tensor train, model optimization

Tensor train decomposition chains matrices through successive products for efficient compression.

tensorboard,visualize,training

TensorBoard visualizes training. Loss curves, histograms, graphs.

tensorflow lite, model optimization

TensorFlow Lite provides lightweight runtime for mobile and embedded deployment with optimization tools.

tensorrt-llm,deployment

NVIDIA's optimized library for LLM inference.

tensorrt, model optimization

TensorRT optimizes trained models for NVIDIA GPUs through fusion quantization and kernel selection.

ternary gradients, distributed training

Quantize gradients to -1 0 +1.

ternary networks, model optimization

Ternary networks use three-level weights providing expressiveness between binary and full precision.

ternary neural networks,model optimization

Use three values (−1 0 +1).

test case generation from spec, code ai

Generate tests from specifications.

test generation,code ai

Automatically create unit tests for code.

test-time adaptation, domain adaptation

Adapt model during inference without labels.

test-time training, domain adaptation

Update model at test time.

tetrad causal, time series models

Tetrad implements causal discovery algorithms like PC and FCI for learning directed acyclic graphs from data.

text encoder for diffusion, generative models

Encode prompts (CLIP ViT-L).

text-guided image editing, generative models

Edit images using text prompts.

text-to-3d, multimodal ai

Text-to-3D methods generate three-dimensional models from textual descriptions.

text-to-image alignment, generative models

Ensure generated images match text.

text-to-image generation,generative models

Create images from text descriptions (DALL-E Midjourney Stable Diffusion).

text-to-image translation, multimodal ai

Generate images from text.

text-to-sql,code ai

Convert questions to SQL queries.

text-to-video, multimodal ai

Text-to-video models generate video sequences from textual descriptions.

text-to-video,generative models

Generate video clips from text descriptions.

textual inversion, generative models

Learn new tokens from images.

textual inversion, multimodal ai

Textual inversion learns new tokens representing concepts for personalized generation.

textual inversion,generative models

Learn new tokens representing specific concepts for generation.

texture synthesis, multimodal ai

Texture synthesis generates surface appearance through learned or procedural methods.

tgat, tgat, graph neural networks

Temporal Graph Attention Network uses temporal encoding and functional time encoding for dynamic graph learning.

tgcn, tgcn, graph neural networks

Temporal Graph Convolutional Network combines graph convolutions with gated recurrent units to capture spatial and temporal dependencies in dynamic graphs.

tgn, tgn, graph neural networks

Temporal Graph Network maintains memory modules for nodes that are updated during temporal random walks for continuous-time dynamic graph learning.