“Terms and Conditions”
Terms
Contributing
Terms
alignment
artificial general intelligence
artificial intelligence
attention
base model
benchmarking
chain-of-thought
context window
counterfactuality
eliza effect
embedding
feature
few shot
fine tuning
gpu
hallucination
homogenization effects
inference
latent space
llm
multimodality
neural net
pre-training
prompt engineering
prompt injection
quanta
reasoning
red teaming
reinforcement learning
scale
slop
superposition
temperature
tokenization
transformer
turing test
vector space
vibe coding
world model
What is this?
Each term links to its entry. Gray terms are in flight; lavender terms are complete. See
Contributing
for how entries are written.
Who does this?
“Terms and Conditions” is a project of the
Machine Learning Humanities
working group.
How to join