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
- Lego Transformers Soundwave (www.lego.com)
- All About Transformer Inference (jax-ml.github.io)
- Transformers from Scratch (e2eml.school)
- In-context denoising with one-layer transformers (openreview.net)
- Decasing Transformers for Fun (stephantul.github.io)
- Transformers 4.55 New OpenAI GPT OSS (github.com)
- Fine-tuning with GPT-OSS and Hugging Face Transformers (cookbook.openai.com)
- Rsgpt: A generative transformer model for retrosynthesis planning (www.nature.com)
- Publishing free eBook designed and written by GPT-5 – "The Human Transformer" (2472241684911.gumroad.com)
- Intuitive explanation of LLM Transformers without math (www.youtube.com)
- Fine-tuning with GPT-OSS and Hugging Face Transformers (cookbook.openai.com)
- Transformers at the Edge: Efficient LLM Deployment (semiengineering.com)
- Transformer Circuits: reverse-engineering transformers into graspable programs (transformer-circuits.pub)
- Show HN: I built a tool to replace capcut audio transcription (meetcosmos.com)