Vision Encoder
A vision encoder is the neural network component that turns an image into a sequence of numerical vectors that other models can consume.
Model Architecture
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Vision Transformer
The Vision Transformer (ViT) is a deep learning architecture that represents an image as a sequence of fixed-size patches and processes that sequence with a Transformer encoder.
YOCO (You Only Cache Once)
YOCO ("You Only Cache Once") is a decoder-decoder neural network architecture for large language models introduced by researchers at Microsoft Research and Tsinghua University in May 2024.
YaRN
YaRN (Yet another RoPE extensioN) is a compute-efficient method for extending the context window of large language models that use Rotary Position Embeddings (RoPE).
xLSTM
xLSTM (Extended Long Short-Term Memory) is a recurrent neural network architecture introduced in May 2024 by Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, and collaborators at Johannes Kepler University…