Curriculum Learning
Definition
Curriculum learning mimics human education by presenting training data in a structured …
Welcome to the AI Terms Dictionary — a comprehensive, multilingual reference for Artificial Intelligence terminology.
Curriculum learning mimics human education by presenting training data in a structured …
Data minimization is a core privacy principle requiring organizations to limit data …
Model extraction involves querying a target machine learning model’s API to infer …
The right to be forgotten enables users to demand the removal of their personal …
In AI, stereotypes arise when models learn and amplify societal biases present in …
A backdoor attack involves poisoning the training data of a machine learning model with …
The Wumpus World is a grid-based environment introduced in Russell and Norvig’s AI …
XLM-RoBERTa (Cross-lingual Language Model RoBERTa) is a large-scale multilingual model …
Zero-shot prompting involves asking a pre-trained language model to complete a task …
The Zeuthen strategy is a rule-based approach for bargaining in multi-agent negotiations. …
Softmax is widely used in the output layer of neural networks for multi-class …
Text summarization reduces large volumes of text into shorter versions without losing …
Supervised Fine-tuning (SFT) involves taking a large pre-trained model, such as a …
In supervised learning, the algorithm is trained on a labeled dataset, meaning each input …
Testing in AI engineering involves rigorously assessing models against diverse datasets …
Multiple Instance Learning (MIL) addresses scenarios where data is grouped into …
Named Entity Recognition (NER) is a subtask of information extraction that locates and …
In machine learning, optimization refers to the algorithms used to adjust model …
Overfitting occurs when a model learns the training data too well, including its random …
Planning in AI involves determining a sequence of actions that will lead from an initial …