Google's new BERT model shows that deep learning can go really deep

Deep learning has come a long way since its inception, and Google's latest breakthrough with BERT (Bidirectional Encoder Representations from Transformers) shows just how far it can go. BERT is a pre-trained language model that can be fine-tuned to solve a wide range of NLP tasks, including sentiment analysis, machine translation, and question answering. By using a combination of bidirectional encoding and attention mechanisms, BERT is able to capture complex relationships between words and phrases in a way that previous models could not.