Natural language processing (NLP) is the branch of artificial ... leading to the creation of generative AI models such as Bidirectional Encoder Representations from Transformer (BERT) and ...

These approaches are termed statistical NLP, where statistical models learn weights corresponding to each input feature to make soft, probabilistic decisions (e.g., tf-idf or embedding, as explained ...

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation (abstract) Cho et al. 2014 Breakthrough deep learning paper on machine translation. Introduces basic ...

BERT, aka Bidirectional Encoder Representations from Transformers, is a pre-trained NLP model developed by Google in 2018 ... includes two separate mechanisms — encoder and decoder, the BERT model ...

Create a Tokenizer and load the whole vocabulary ( questions + answers ) into it. Three arrays required by the model are encoder_input_data, decoder_input_data and decoder_output_data ...