Google BERT (Bidirectional Encoder Representations from Transformers) is a natural language processing (NLP) AI model developed by Google. It is not called Google BARD.
BERT is a deep learning model that uses a technique called transformers to analyze and understand natural language text. It is pre-trained on a large corpus of text, which enables it to learn the nuances and complexities of natural language.
The BERT model is capable of a variety of NLP tasks such as language translation, question-answering, sentiment analysis, and more. One of its key features is its ability to understand the context and meaning of words in a sentence, which is essential for accurate NLP tasks.
Google has integrated the BERT model into its search algorithm, which has improved the quality and relevance of search results. BERT has also been used in various Google products such as Google Assistant and Google Translate to provide more accurate and natural language responses.
