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Find an AI concept.
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AI Memory
Stored conversation state, preferences and task records, distinguished from context windows and model training, with examples of freshness and access boundaries.
Attention
A mechanism that lets a neural network weigh the relevance of different positions when computing a representation.
Embedding
A numerical vector representation used to encode semantic or structural properties of data.
GPU
A highly parallel processor widely used to train and run modern machine-learning models.
Retrieval-Augmented Generation (RAG)
A method that retrieves external information and supplies it to a generative model as context.
Sovereign AI
Control over AI data, infrastructure, models and operational capabilities, examined separately from data location and supplier branding.
Tokenization
The process of converting text or other input into discrete units that a model can process.
Vector Search
Search that retrieves items by similarity between numerical vector representations.