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. …
Token limit defines the context window size constraint for large language models, …
Tool Use enables language models to interact with external software environments by …
Translation in AI refers to neural machine translation, where deep learning models map …
Transparency ensures that stakeholders can understand how an AI model arrives at its …
Unsupervised learning identifies hidden structures, clusters, or distributions within raw …
Since transformers process all tokens in parallel rather than sequentially like RNNs, …
Prompt injection exploits the way large language models interpret user instructions by …
QLoRA combines Low-Rank Adaptation (LoRA) with 4-bit quantization to significantly reduce …
Quantization converts high-precision floating-point numbers (like FP32) into …
Question Answering (QA) involves retrieving or generating accurate responses to user …