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Home/Glossary/RoPE (Rotary Positional Embeddings)
AI Glossary Term

What does “RoPE (Rotary Positional Embeddings)” mean?

Definition

A positional encoding method that rotates query and key vectors to encode relative token positions.

Related terms

Positional Encoding
Information added to token embeddings so transformers can distinguish sequence order.
ALiBi
A positional bias method that penalizes attention scores based on token distance, helping models extrapolate to longer contexts.
RAG-Fusion
A retrieval method that generates multiple query variants, retrieves results for each, and fuses the rankings.
ANN (Approximate Nearest Neighbor)
Algorithms that find vectors close to a query without exhaustive comparison, trading exactness for speed.
RAG (Retrieval-Augmented Generation)
A method that retrieves external knowledge and feeds it into generation at inference time.
Reinforcement Learning from Human Feedback (RLHF)
A training method that uses human preference signals to shape model behavior.

Learn more in our free guides

Audio Embeddings and Representation LearningSentence-BERT EmbeddingsX-Vector Speaker EmbeddingsHyDE Hypothetical Document Embeddings

See also

Multi-Head AttentionSliding Window AttentionFlash AttentionBPE (Byte Pair Encoding)QLoRASentencePieceDPO (Direct Preference Optimization)Tree of Thoughts
PreviousPositional EncodingNextALiBi
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