Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Training
long context
long context is a core generative-AI concept used across modeling, product, and governance discussions.
Training
LoRA
LoRA is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
LoRA for diffusion
LoRA for diffusion is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
memorization
memorization is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
mixture of experts
mixture of experts is a core generative-AI concept used across modeling, product, and governance discussions.
Training
MMLU
MMLU is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
model card
model card is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
MT-Bench
MT-Bench is a core generative-AI concept used across modeling, product, and governance discussions.
Training
multi-head attention
multi-head attention is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
noise scheduler
noise scheduler is a core generative-AI concept used across modeling, product, and governance discussions.
Data
open weights
open weights is a core generative-AI concept used across modeling, product, and governance discussions.
Modeling
Overfitting
A modeling error that occurs when a model learns noise and details from the training data.
Product
pgvector
pgvector is a core generative-AI concept used across modeling, product, and governance discussions.
Training
PII detection
PII detection is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
positional encoding
positional encoding is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
PPO
PPO is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
preference optimization
preference optimization is a core generative-AI concept used across modeling, product, and governance discussions.
Data
privacy redaction
privacy redaction is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
QLoRA
QLoRA is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
quantization
quantization is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
ReAct
ReAct is a core generative-AI concept used across modeling, product, and governance discussions.
Product
reward model
reward model is a core generative-AI concept used across modeling, product, and governance discussions.
Product
rotary positional encoding
rotary positional encoding is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
safety classifier
safety classifier is a core generative-AI concept used across modeling, product, and governance discussions.