We help you wrap your head around relative positional embeddings as they were first introduced in the “Self-Attention with Relative Position Representations” paper.
➡️ AI Coffee Break Merch! 🛍️ [ Ссылка ]

Related videos:
📺 Positional embeddings explained: [ Ссылка ]
📺 Concatenated, learned positional encodings: [ Ссылка ]
📺 Transformer explained: [ Ссылка ]

Papers:
📄 Shaw, Peter, Jakob Uszkoreit, and Ashish Vaswani. "Self-Attention with Relative Position Representations." In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pp. 464-468. 2018. [ Ссылка ]

📄 Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. "Attention is all you need." In Advances in neural information processing systems, pp. 5998-6008. 2017. [ Ссылка ]

💻 Implementation for Relative Position Embeddings: [ Ссылка ]

Outline:
00:00 Relative positional representations
02:15 How do they work?
07:59 Benefits of relative vs. absolute positional encodings

Music 🎵 : Holi Day Riddim - Konrad OldMoney
✍️ Arabic Subtitles by Ali Haidar Ahmad [ Ссылка ] .

▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🔥 Optionally, pay us a coffee to help with our Coffee Bean production! ☕
Patreon: [ Ссылка ]
Ko-fi: [ Ссылка ]
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀

🔗 Links:
AICoffeeBreakQuiz: [ Ссылка ]
Twitter: [ Ссылка ]
Reddit: [ Ссылка ]
YouTube: [ Ссылка ]

#AICoffeeBreak #MsCoffeeBean #MachineLearning #AI #research​

свернуть