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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.
BERT
Bidirectional Encoder Representations from Transformers, an encoder-based language representation model.
Data Provenance
Information about where data came from, how it was collected, and how it changed before use.
Embedding
A numerical vector representation used to encode semantic or structural properties of data.
Inference
The process of running a trained model on new input to produce predictions, embeddings, or generated output.
Multimodal AI
AI systems that process or generate more than one type of data, such as text, images, audio, or video.
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.
Transformer
A neural network architecture that processes sequences primarily through attention mechanisms.
Vector Search
Search that retrieves items by similarity between numerical vector representations.