Data Processing on English AI Terms Dictionary

Quantification

Sat, 18 Jul 2026 10:12:49 +0000

Definition

In the context of AI and data science, quantification refers to the transformation of non-numerical data, such as text, images, or subjective opinions, into measurable numerical values. This process is essential for enabling machine learning models to process and analyze information. Techniques include tokenization for text, normalization for features, and embedding vectors for semantic representation. Without effective quantification, algorithms would lack the structured input required to identify patterns, make predictions, or generate insights from complex datasets.

Retrieval

Sat, 18 Jul 2026 09:42:48 +0000

Definition

Retrieval refers to the technical process of searching and extracting specific information from large datasets or external knowledge bases based on user queries or context. In modern AI systems, it is often paired with generation (RAG) to provide factual grounding. It involves indexing data, computing similarity scores between queries and documents, and ranking results to ensure the most relevant information is returned efficiently to the downstream application.

Summary

The process of fetching relevant data from a database or knowledge base to augment model inputs.