
What are some of the limitations of BERT
Bidirectional Encoder Representations from Transformers, or BERT, is a popular language model used in natural language processing (NLP) tasks. It has achieved state-of-the-art results in various NLP applications such as text classification, question-answering, and sentiment analysis. However, like any other machine learning model, BERT has its limitations. In this article, we will discuss some of…