Sample complexity
Definition
In computational learning theory, sample complexity quantifies the amount of data needed …
Learning
Meta
Definition
The prefix ‘meta’ in artificial intelligence denotes a higher level of …
on-policy
Definition
On-policy algorithms require that the agent learns directly from the actions taken by its …
Feedback
Definition
Feedback mechanisms allow AI systems to learn from their interactions with users or …
Evolving
Definition
The term ’evolving’ characterizes dynamic AI models that undergo continuous …
Contrastive
Definition
This method encourages the model to pull embeddings of positive pairs (similar items) …
Bayesian
Definition
Bayesian approaches in AI use probability theory to update the likelihood of hypotheses …
Adaptive
Definition
In AI, ‘adaptive’ describes systems or algorithms that can adjust their …