BERT is an AI language model that Google uses within its algorithm to help provide relevant search results by better understanding the context of the searcher's query.

Google says BERT went through rigorous testing to ensure that the changes are actually more helpful for searchers. You can see some before and after examples in the next section.

Instead of only feeding the neural network text examples labeled with their meaning, Google researchers started by feeding BERT huge quantities of unannotated text (11,038 digitized books and 2.5 ...

The company's immensely powerful DGX SuperPOD trains BERT-Large in a record-breaking 53 minutes and trains GPT-2 8B, the world's largest transformer-based network, with 8.3 billion parameters.

EuroBERT can be used wherever BERT was previously used. This does not necessarily always lead to better results, which is why it makes sense to define and compare a performance metric (such as ...

On stage at I/O, Raghavan provided some examples of the tasks that MUM can handle at the same time: Acquire deep knowledge of the world. Understand and generate language. Train across 75 languages.