Rope Explained: The Positional Workhorse Of Modern Llms

RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs

DeepLearning Hero

[한글자막] RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs

Rotary Positional Embeddings: Combining Absolute and Relative

LLaMA explained: KV-Cache, Rotary Positional Embedding, RMS Norm, Grouped Query Attention, SwiGLU

Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023

Stanford Online

Positional embeddings in transformers EXPLAINED | Demystifying positional encodings.

AI Coffee Break with Letitia

Transformer Architecture: Fast Attention, Rotary Positional Embeddings, and Multi-Query Attention

Rajistics - data science, AI, and machine learning

RoFormer: Enhanced Transformer with Rotary Position Embedding Explained

Gabriel Mongaras

Rotary Positional Embeddings

Data Science Gems

Extending Context Window of Large Language Models via Positional Interpolation Explained

Gabriel Mongaras

Transformer Positional Embeddings With A Numerical Example.

Machine Learning with Pytorch

Postitional Encoding

CIS 522 - Deep Learning

How Large Language Models Work