Scaling vision transformers to 22 billion parameters – Google AI Blog
Bumblebee Transformers
The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.
Google-Forscher präsentiert Highlights im Gebiet Computer Vision auf CAI-Kolloquium | ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Google trainiert bisher größten Vision Transformer
Google Leverages Transformers to Vastly Simplify Neural Video Compression With SOTA Results | Synced
Google AI Introduces OptFormer: The First Transformer-Based Framework For Hyperparameter Tuning - MarkTechPost
Google Brain's Switch Transformer Language Model Packs 1.6-Trillion Parameters | Synced
Generative pre-trained transformer - Wikipedia
Switch Transformer: Google's New Language Model Features Trillion Parameters
Google Research Proposes an Artificial Intelligence (AI) Model to Utilize Vision Transformers on Videos - MarkTechPost
Google & DeepMind Debut Benchmark for Long-Range Transformers | by Synced | SyncedReview | Medium
What Is a Transformer Model? | NVIDIA Blogs
Architecture of the Transformer (Vaswani et al., 2017). We apply the... | Download Scientific Diagram
Attention and Transformers | David Macêdo
Google Researchers Use Different Design Decisions To Make Transformers Solve Compositional NLP Tasks - MarkTechPost
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity - YouTube
Google's New Switch Transformer Model Achieves 1.6 Trillion Parameters, Efficiency Gains
