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کالبدشکافی Attention Mechanism در مدل های Transformer به صورت گام به گام: در واقع در این نوشتار در وب سایت مدیوم، توضیح داده می شود که توکن ها (کلمه ها و Subwords ) به نمایه هایی به اصطلاح Context Aware تبدیل می شوند.

@ai_python

همچنین به این موضوع پرداخته شده است که Similarity Score ها چگونه محاسبه می شوند و چرا Multi-Head Attention به تشخیص Relationship های پیچیده کمک می کند :

https://medium.com/@ali.afkhamiii/attention-deconstructed-b5d33a01cff6

DLeX: AI Python
کالبدشکافی Attention Mechanism در مدل های Transformer به صورت گام به گام: در واقع در این نوشتار در وب سایت مدیوم، توضیح داده می شود که توکن ها (کلمه ها و Subwords ) به نمایه هایی به اصطلاح Context Aware تبدیل می شوند.

@ai_python

همچنین به این موضوع پرداخته شده است که Similarity Score ها چگونه محاسبه می شوند و چرا Multi-Head Attention به تشخیص Relationship های پیچیده کمک می کند :

https://medium.com/@ali.afkhamiii/attention-deconstructed-b5d33a01cff6
Medium
Attention, Deconstructed
A step-by-step reconstruction of the Attention mechanism behind Transformers built from scratch with intuition, math, code, and mental…
hottg.com/ai_python/17614
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کالبدشکافی Attention Mechanism در مدل های Transformer به صورت گام به گام: در واقع در این نوشتار در وب سایت مدیوم، توضیح داده می شود که توکن ها (کلمه ها و Subwords ) به نمایه هایی به اصطلاح Context Aware تبدیل می شوند.

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