Hackernews posts about Transformer
Transformer is a type of neural network architecture designed for natural language processing tasks that relies on self-attention mechanisms to process input sequences in parallel.
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- Transformers Without Normalization (jiachenzhu.github.io)
- VGGT: Visual Geometry Grounded Transformer (github.com)
- Real-Time Introspective Compression for Transformers (github.com)
- Understanding Transformers (beyond the Math) – kalomaze's kalomazing blog (kalomaze.bearblog.dev)
- How DeepSeek Rewrote the Transformer [video] (www.youtube.com)
- Qwerky 72B – A 72B LLM without transformer attention (substack.recursal.ai)
- Transformers Without Normalization (arxiv.org)
- DeepSeek Rewrote the Transformer (www.youtube.com)
- Nemotron-H: A Family of Accurate, Efficient Hybrid Mamba-Transformer Models (research.nvidia.com)
- Transformers as Support Vector Machines (2023) (arxiv.org)
- Transformers Without Normalization (arxiv.org)
- TransformersPHP – Run Transformers natively in your PHP projects (transformers.codewithkyrian.com)
- Programmable Bumblebee Transformer Robot (www.robosen.com)
- Transformers Without Normalization (arxiv.org)
- Graph Transformers in Kumo (kumo.ai)
- Transformer Layers as Painters (vevesta.substack.com)
- Client-Side AI with Nuxt Workers and Transformers.js (www.codybontecou.com)
- Training a Transformer (www.k-a.in)
- Transformers Without Normalization (jiachenzhu.github.io)