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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- 'Attention is all you need' coauthor says he's 'sick' of transformers (venturebeat.com)
- Why can't transformers learn multiplication? (arxiv.org)
- Sentence Transformers is joining Hugging Face (huggingface.co)
- End of Transformer Era Approaches (manifestai.com)
- The Free Transformer (arxiv.org)
- Your Transformer is Secretly an EOT Solver (elonlit.com)
- Psycholinguistics and Transformer Circuits (nathanzhao.cc)
- Race SPT: Sensor Pretrained Transformer (getfast.ai)
- Software Defect Prediction Using Autoencoder Transformer Model (machinelearning.apple.com)
- Everything About Transformers (www.krupadave.com)
- An underqualified reading list about the transformer architecture (fvictorio.github.io)
- A Minimal Route to Transformer Attention (www.neelsomaniblog.com)
- Everything About Transformers (www.krupadave.com)
- Are transformer all we need? (merqur.io)
- LLM Poisoning [1/3] – Reading the Transformers Thougts (www.synacktiv.com)
- Autoreview: The Dragon Hatchling – The Missing Link Between the Transformer and (arxiviq.substack.com)
- Reactive Transformer Research Paper (huggingface.co)
- Transformers Explained: The Discovery That Changed AI Forever [video] (www.youtube.com)