The Bidirectional and Auto-Regressive Transformer or BART is a Transformer that combines the Bidirectional Encoder (i.e. BERT like) with an Autoregressive decoder (i.e. GPT like) into one Seq2Seq model. In other words, it gets back to the original Transformer architecture proposed by Vaswani, albeit with a few changes.
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I know a thing or two about AI and machine learning. Welcome to MachineCurve.com, where machine learning is explained in gentle terms.
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