How to solve 90% of NLP problems: a step-by-step guide by Emmanuel Ameisen Insight
SourceThe past few decades, however, have seen a resurgence in interest and technological leaps. Much of the recent excitement in nlp problems has revolved around transformer-based architectures, which dominate task leaderboards. However, the question of practical applications is still worth asking as there’s some concern about what these models are really learning. The term artificial …
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