Explore como os Transformers estão redefinindo os limites da Inteligência Artificial, desde o processamento de linguagem natural até aplicações inovadoras em diversas áreas.
Regarding the topic of the article, this explanation of Transformers and their evolution is incredibly insightful, making the transition from rule-based and recurrent networks feel almost quaint in comparison to the scale and depth of understanding achieved today.
I agree. The shift to attention and parallelism unlocked deeper contextual understanding and stronger generalization. What used to be handcrafted and sequential became large‑scale data and compute — which is why pre‑training + fine‑tuning emerged as the new default.
Regarding the topic of the article, this explanation of Transformers and their evolution is incredibly insightful, making the transition from rule-based and recurrent networks feel almost quaint in comparison to the scale and depth of understanding achieved today.
I agree. The shift to attention and parallelism unlocked deeper contextual understanding and stronger generalization. What used to be handcrafted and sequential became large‑scale data and compute — which is why pre‑training + fine‑tuning emerged as the new default.