Archives for RoBERTa




Meet The New Marathi RoBERTa
The duo unveiled the model at Hugging Face’s community week.
The post Meet The New Marathi RoBERTa appeared first on Analytics India Magazine.
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
The attention mechanism in Transformers began a revolution in deep learning that led to numerous researches in different domains
The post A Complete Learning Path To Transformers (With Guide To 23 Architectures) appeared first on Analytics India Magazine.
ELECTRA is the present state-of-the-art in GLUE and SQuAD benchmarks. It is a self-supervised language representation learning model
The post How ELECTRA outperforms RoBERTa, ALBERT and XLNet appeared first on Analytics India Magazine.


Recently, researchers from Facebook AI introduced a Transformer architecture, that is known to be with more memory as well as time-efficient, called Linformer. According to the researchers, Linformer is the first theoretically proven linear-time Transformer architecture. For a few years now, the number of parameters in Natural Language Processing (NLP) transformers has grown drastically, from…
The post Meet Linformer: The First Ever Linear-Time Transformer Architecture By Facebook appeared first on Analytics India Magazine.
“What do data-rich models know that models with less pre-training data do not?” The performance of language models is determined mostly by the amount of training data, quality of the training data and choice of modelling technique for estimation. At the same time, scaling up a novel algorithm to a large number of data barricades…
The post When Do Language Models Need Billion Words In Their Datasets appeared first on Analytics India Magazine.
“What do data-rich models know that models with less pre-training data do not?” The performance of language models is determined mostly by the amount of training data, quality of the training data and choice of modelling technique for estimation. At the same time, scaling up a novel algorithm to a large number of data barricades…
The post When Do Language Models Need Billion Words In Their Datasets appeared first on Analytics India Magazine.