Neowin

LaBSE, a new language-agnostic embedding model, supports 109 languages with SOTA accuracy

Language-agnostic BERT Sentence Embedding (LaBSE), is a multilingual BERT embedding model that supports language-agnostic cross-lingual sentence embeddings for 109 languages by combining MLM and TLM.
heise online

AI model BERT learns European: EuroBERT presented

A consortium of research institutions and industry partners such as the AI platform Hugging Face has presented the multilingual encoder model EuroBERT, which aims to improve performance in European ...
VentureBeat

Google open-sources BERT, a state-of-the-art pretraining technique for natural language processing

Natural language processing (NLP) -- the subcategory of artificial intelligence (AI) that spans language translation, sentiment analysis, semantic search, and dozens of other linguistic tasks -- is ...
ZDNet

Google uses MLPerf competition to showcase performance on gigantic version of BERT language model

The deep learning world of artificial intelligence is obsessed with size. Deep learning programs, such as OpenAI's GPT-3, continue using more and more GPU chips from Nvidia and AMD -- or novel kinds ...