GPT-2 and GPT-3 use byte pair encoding to turn text into a series of integers to feed into the model. This is a javascript implementation of OpenAI's original python encoder/decoder which can be found ...

GPT-2 and GPT-3 use byte pair encoding to turn text into a series of integers to feed into the model. This is a PHP implementation of OpenAI's original python encoder and decoder which can be found ...

Rather than being scared of the GPT-3 language processor, ... Every time you see a Seq2Seq scenario, you should associate it with what’s called encoder-decoder architectures.

Specifically, we proposed a Vision Encoder Decoder (ViT-) model for the image captioning task and integrated the GPT transformer for the preceding caption summarization. Our findings underscore the ...

Discover the power of sparse autoencoders in machine learning. Our in-depth article explores how these neural networks compress and reconstruct data, extract meaningful features, and enhance the ...

BERT, aka Bidirectional Encoder Representations from Transformers, is a pre-trained NLP model developed by Google in 2018. In fact, before GPT-3 stole its thunder, BERT was considered to be the most ...

When k equals half the sentence length, the downstream tasks can reach their best performance. Masking half the sentence can provide good balance in the pre-training of the encoder and decoder. Bias ...