How does BERT differ from GPT in architecture and pretraining?hard

Type
conceptual
Topic
does-bert-differ-from-gpt-in-architecture-and-pretraining
Frequency
common
Tags
deep-learning, how, does, bert, differ, from
Answer

BERT: encoder-only, bidirectional, pretrained with Masked LM + Next Sentence Prediction.

Explanation

BERT: encoder-only, bidirectional, pretrained with Masked LM + Next Sentence Prediction. Sees full context — good for classification/extraction. GPT: decoder-only, autoregressive, pretrained with causal LM (predict next token). Good for generation. For a document extraction pipeline extraction, BERT-style is better; for generative summarization (a fund document processing system), GPT-style is better.

Follow-upWhen would you choose one approach over the other?