Rotary Positional Embeddings (RoPE): Part 1

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This week we discussed Rotational Positional Embedding (RoPE). Transformers are wonderful models that lie at the heart of most of Generative AI. However, Transformers have issues with learning the relationships between the sequence of words. RoPE enables us to efficiency learn these relationships.

*Links*

*Content*
00:00 Introduction
00:51 Related papers
04:21 Embeddings
12:45 Visualizing RoPE
21:32 Rotary embedding
01:00:06 RoPE properties
01:10:45 Alternative RoPE

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#Rope #RotaryPositionalEmbeddings #AI #ML #Transformers #Encoding #GenerativeAI #MachineLearning
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