What are the key differences between BERT's bidirectional training approach and GPT's autoregressive model, and how do these differences impact their performance on various NLP tasks?
Tuesday, 11 June 2024 by EITCA Academy
BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer) are two prominent models in the realm of natural language processing (NLP) that have significantly advanced the capabilities of language understanding and generation. Despite sharing some underlying principles, such as the use of the Transformer architecture, these models exhibit fundamental differences in their training