- Understanding The Attention Mechanism In Transformers: A 5-minute visual guide. 🧠 https://open.substack.com/pub/codecompass00/p/visual-guide-attention-mechanism-transformers?r=rcorn 6 comments compsci
Linked pages
- Introducing the next generation of Claude \ Anthropic https://www.anthropic.com/news/claude-3-family 704 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- Fuzzy logic - Wikipedia https://en.wikipedia.org/wiki/Fuzzy_logic 42 comments
- Highly accurate protein structure prediction with AlphaFold | Nature https://www.nature.com/articles/s41586-021-03819-2 9 comments
- How Tesla Continuously and Automatically Improves Autopilot and Full Self-Driving Capability On 5M+ Cars https://codecompass00.substack.com/p/tesla-data-engine-trigger-classifiers 2 comments
- [2303.08774] GPT-4 Technical Report https://arxiv.org/abs/2303.08774 1 comment
- [2312.11805] Gemini: A Family of Highly Capable Multimodal Models https://arxiv.org/abs/2312.11805 1 comment
- [2403.05530] Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context https://arxiv.org/abs/2403.05530 1 comment
- [2010.11929] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale https://arxiv.org/abs/2010.11929 0 comments
- [2302.13971] LLaMA: Open and Efficient Foundation Language Models https://arxiv.org/abs/2302.13971 0 comments
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