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.
Related:
Apple
- Generative Pen-Trained Transformer (theodore.net)
- Transformers V5 is out! (github.com)
- LLatte: Scalable Transformers for Ads at Meta (twitter.com)
- Training a 67M-parameter transformer on an M4 Mac Mini (geddydukes.com)
- LLatte: Scalable Transformers for Ads at Meta (twitter.com)
- Transformers in 200 lines of dependency free Python (twitter.com)
- So whats the next word, then? Almost-no-math intro to transformer models (matthias-kainer.de)
- Transfer learning and Transformer models (ML Tech Talks) [video] (www.youtube.com)
- NVIDIA Transformer Engine (docs.nvidia.com)
- Securing America's grid: a strategic transformer reserve (breakingdefense.com)
- Your Transformer Is secretly an EOT Solver (elonlit.com)
- Transformer-Based Memory Forecasting (novice.media)
- Transformers.js v4 Preview: Now Available on NPM (huggingface.co)
- The End of Transformers (2025) (arxiv.org)