Lecture

BERT: Pretraining and Applications

Description

This lecture covers the pretraining of transformers, focusing on BERT. It explains the pretraining process for encoders and decoders, the BERT model architecture, and its training on large datasets. It also discusses the applications of BERT in various natural language processing tasks, such as question answering, sentiment analysis, and paraphrase detection.

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Official source

https://mediaspace.epfl.ch/media/0_d7jpxct2

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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