#machine learning
- Annotated — Containing annotations, explanatory notes, glosses, comments, or structured descriptive labels; a text, document, or dataset supplemented with marginal notes designed to clarify the meaning or train a software algorithm. Grammatically, it represents the past participle of the verb 'adnota', widely assimilated into academic vocabulary as a qualitative adjective.
- Annotator — A person who adds notes, glosses, explanatory comments, or descriptive labels to the margins of a text, manuscript, or within a dataset; a specialist responsible for structurally processing and clarifying information. In modern technology, it represents the specialist or software tool (automated annotator) that marks raw data for training artificial intelligence models.
- Annotation — The act of annotating and its result; a structural process through which explanatory notes, metadata tags, comments, or critical interpretations are added to a text, document, or raw data set (images, audio, video). In machine learning and artificial intelligence, this process is essential for creating training data sets, enabling algorithms to recognize specific patterns, objects, or grammatical structures.
- Annotator — A person (specialist, linguist) or software program (algorithm, automated tool) that performs the action of annotating, labeling, or structurally marking a raw data set. Its role in the technological ecosystem is to assign meaning, categories, or specific attributes to informational fragments, serving as a bridge between unstructured data and supervised computer learning systems.
- Training — The act of training and its result; the methodical process of preparing an organism for athletic performance, or the action of involving a person or a group in a collective activity. In modern computer science, it represents the structural optimization phase of an algorithmic model or neural network by processing a massive data set, while in mechanics it denotes forcing a body to follow the movement of another element in rotation or displacement.
- Self-improved — Having been improved, optimized, or educated through one's own conscious and voluntary efforts; a software system, algorithm, or individual that has undergone an autonomous process of structural and qualitative development without depending on direct external intervention or guidance. In the field of artificial intelligence, it describes the state of a neural network model that has independently refined its internal execution parameters based on the analysis of its own past errors.