FIS Machine Learning Software Engineer Interview Questions and Answers

Bert embeddings is a language model that generates contextualized word embeddings.

• Bert stands for Bidirectional Encoder Representations from Transformers.

• It uses a transformer architecture to generate word embeddings that take into account the context of the word.

• Bert embeddings are pre-trained on large amounts of text data and can be fine-tuned for specific NLP tasks.

• They have been shown to outperform traditional word...read more