For natural language processing (NLP) taskssuch as sentiment or topic classification, currently prevailing approaches heavily rely on pretraining large self-supervised models on massive external data resources.
<clarity> For natural language processing (NLP) taskssuch as sentiment or topic classification, currently prevailing approaches heavily rely on pretraining large self-supervised models on massive external data resources.
For natural language processing 'text-to-text' tasks, the prevailing approaches heavily rely on pretraining large self-supervised models on massive external data resources.