NEWSLETTER
This China AI paper proposes a novel architecture called ViTAR (Vision Any Resolution Transformer)
The notable advances made by the Transformer architecture in natural language processing (NLP) have sparked great interest within the computer ...
Tag: Transformer
Transform your understanding of care: EPFL's cutting-edge research reveals the secrets of transformer efficiency!
The integration of attention mechanisms into neural network architectures in machine learning has marked an important advance, especially in the ...
Introduction to tuning pre-trained transformer models | by Ram Vegiraju | February 2024
Simplified using the HuggingFace training objectPicture of unpack by Markus SpiskeHugsFace It serves as the home for many popular open ...
This AI article presents Find+Replace Transformers: a family of multi-transformer architectures that can probably do things that no transformer can do alone and that outperform GPT-4 in several tasks
In the annals of computing history, the journey from early mechanical calculators to Turing Complete machines has been revolutionary. While ...
Large Language Models, GPT-1 — Generative Pre-Trained Transformer | by Vyacheslav Efimov | Jan, 2024
Diving deeply into the working structure of the first version of gigantic GPT-models2017 was a historical year in machine learning. ...
This AI article introduces the cached transformer: a transformer model with GRC (closed recurrent cache) attention for enhanced language and vision tasks.
Transformer models are crucial in machine learning for language and vision processing tasks. Transformers, recognized for their effectiveness in handling ...
Stanford researchers present the anticipatory musical transformer: an innovative artificial intelligence tool to improve creative control in musical composition
Creating art like beautiful images and stunning essays in generative ai often leaves users with little control. Some tools generate ...
Can AI really understand our emotions? This AI article explores advanced facial emotion recognition with vision transformer models
FER is fundamental in human-computer interaction, sentiment analysis, affective computing, and virtual reality. It helps machines understand and respond to ...
Google AI presents AltUp (alternating updates): an artificial intelligence method that takes advantage of the increasing scale in transformer networks without increasing the cost of computing
In deep learning, Transformer neural networks have attracted significant attention for their effectiveness in various domains, especially in natural language ...
China Researchers Propose iTransformer: Rethink Transformer Architecture to Improve Time Series Forecasting
Transformer has become the basic model that adheres to the scaling rule after achieving great success in natural language processing ...
