Results for "patch embeddings"

Encodes positional information via rotation in embedding space.

A continuous vector encoding of an item (word, image, user) such that semantic similarity corresponds to geometric closeness.

A datastore optimized for similarity search over embeddings, enabling semantic retrieval at scale.

Predicts masked tokens in a sequence, enabling bidirectional context; often used for embeddings rather than generation.

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

Mechanisms for retaining context across turns/sessions: scratchpads, vector memories, structured stores.

AI subfield dealing with understanding and generating human language, including syntax, semantics, and pragmatics.

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Models trained to decide when to call tools.