Microsoft and NVIDIA AI Introduces MT-NLG: The Largest and Most Powerful Monolithic Transformer Language NLP Model – MarkTechPost

Transformer-based language models have made rapid progress in many natural language processing (NLP) applications, thanks to the availability of large datasets, large computation at scale, and advanced algorithms and software to train these models.

The high-performing language models need many parameters, a lot of data, and a lot of training time to develop a richer, more sophisticated understanding of language. As a result, they generalize well as effective zero– or few–shot learners on various NLP tasks and datasets with high accuracy.

Continue Reading

Information shared by : PALGUNI G T