Orlova "Quasioptical Transformer which Transforms the Waves in a Waveguide Having Circular Cross Section into a Highly Directional Wave Beam", Radiophysics and Quantum Electronics , vol. 17, no. 1, pp.115 -119 1975S. N.. Vlasov, I. M. Orlova. "Quasioptical transformer ...
Transformer-based Architectures STTR: "Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective With Transformers", Li et al., ICCV, 2021 [Paper] [Code] [Bibtex] [Google Scholar] CEST: "Context-enhanced stereo transformer", Guo et al., ECCV, 2022. [Paper] [Code] [Bibte...
FNet (from Google Research) released with the paper FNet: Mixing Tokens with Fourier Transforms by James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, Santiago Ontanon. Funnel Transformer (from CMU/Google Brain) released with the paper Funnel-Transformer: Filtering out Sequential Redundancy for Efficient...
First appeared in 2017 in the“Attention is all you need”article by Google, the transformer architecture is at the heart of groundbreaking models like ChatGPT, sparking a new wave of excitement in the AI community. They've been instrumental in OpenAI's cutting-edge language models and played...
The transformer is one of the most basic electrical devices there is, and it has applications throughout the electrical and electronics industries. A transformer "transforms" the voltage in a circuit by either stepping it up or stepping it down. Practically every electronic device you use every ...
The transformer is one of the most basic electrical devices there is, and it has applications throughout the electrical and electronics industries. A transformer "transforms" the voltage in a circuit by either stepping it up or stepping it down. Practically every electronic device you use every ...
December 26, 2023byAl Williams1 Comment If you have a signal that passes through a capacitor or transformer, you will lose the DC portion of the signal. What do you do? If you need it, you canrestore the DC biasusing various techniques, as [Sam Ben-Yaakov] shows in a recent video....
where each Euclidean transformer block (ecTblock) consists of a self-attention block and an interaction block. The self-attention block, implements the Euclidean self-attention mechanism described in the previous section. The interaction block gives additional freedom for parametrization by exchanging info...
GPT Fast, fast and hackable pytorch native transformer inference Mixtral Offloading, run Mixtral-8x7B models in Colab or consumer desktops Llama Llama Recipes TinyLlama Mosaic Pretrained Transformers (MPT) VLLM, high-throughput and memory-efficient inference and serving engine for LLMs ...
image pairs at large scale. Second, we experiment with relative positional embeddings and show that they enable vision transformers to perform substantially better. Third, we scale up vision transformer based cross-completion architectures, which is made possible by the use of large amounts of data...