What type of model is BERT?

BERT is an open source machine learning framework for natural language processing (NLP). BERT is designed to help computers understand the meaning of ambiguous language in text by using surrounding text to establish context.

Is BERT based on neural network?

BERT makes use of Transformer, an attention mechanism that learns contextual relations between words (or sub-words) in a text. The chart below is a high-level description of the Transformer encoder. The input is a sequence of tokens, which are first embedded into vectors and then processed in the neural network.

Is BERT based on LSTM?

Meaning there are two LSTMs each for forward and backwards. But none of them took a look at both the ways at the same time. But, in BERT, the model is made to learn from words in all positions, meaning the entire sentence. This, essentially, differentiated BERT from all other Bi-LSTM based models.

Is BERT generative model?

BERT has its origins from pre-training contextual representations including Semi-supervised Sequence Learning, Generative Pre-Training, ELMo, and ULMFit. Unlike previous models, BERT is a deeply bidirectional, unsupervised language representation, pre-trained using only a plain text corpus.

What was BERT trained on?

BERT was originally pre-trained on the whole of the English Wikipedia and Brown Corpus and is fine-tuned on downstream natural language processing tasks like question and answering sentence pairs.

Is BERT faster than LSTM?

As shown below, it naturally performed better as the number of input data increases and reach 75\%+ score at around 100k data. BERT performed a little better than LSTM but no significant difference when the models are trained for the same amount of time.

What is BERT and GPT 3?

BERT is an open-source tool and easily available for users to access and fine-tune according to their needs and solve various downstream tasks. GPT-3 on the other hand is not open-sourced. It has limited access to users and it is commercially available through API.

What is BERT trained on?