Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...

Abstract: Transformer architecture has enabled recent progress in speech enhancement. Since Transformers are position-agostic, positional encoding is the de facto standard component used to enable ...

Rotary Positional Embedding (RoPE) is a widely used technique in Transformers, influenced by the hyperparameter theta (θ). However, the impact of varying *fixed* theta values, especially the trade-off ...

First introduced in this Google paper, skewed relative positional encoding (RPE) is an efficient way to enhance the model's knowledge of inter-token distances. The 'skewing' mechanism allows us to ...

Transformers are the backbone of modern Large Language Models (LLMs) like GPT, BERT, and LLaMA. They excel at processing and generating text by leveraging intricate mechanisms like self-attention and ...

The attention mechanism is a core primitive in modern large language models (LLMs) and AI more broadly. Since attention by itself is permutation-invariant, position encoding is essential for modeling ...

Understand positional encoding without the math headache — it’s simpler than you think. #PositionalEncoding #NLP #Transformers101 Mexican security chief confirms cartel family members entered US in a ...