The AI terms that
actually matter.
Clear, technical definitions of 39 key concepts — written by AI engineers, not marketers.
Transformer Architecture
The Transformer architecture is a deep learning model that uses self-attention mechanisms to efficiently process sequential data, such as text, without relying on recurrent layers.
Read definitionTurboQuant
TurboQuant is a Google Research compression algorithm that reduces LLM key-value cache memory by 6× and speeds up attention computation up to 8× — with zero accuracy loss and no retraining required — using a two-stage geometric quantization approach.
Read definitionVector Similarity Search
Vector similarity search is the process of finding stored vectors that are mathematically closest to a query vector in high-dimensional space — the core retrieval operation behind semantic search, RAG, recommendation systems, and embedding-based AI pipelines.
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