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.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. Two years ago, Yuri Burda and Harri ...

The trend toward small language models is accelerating as Arcee AI announced its $24M Series A funding only 6 months after announcing its $5.5M seed round in January 2024. The company also announced ...

If the pandemic has taught us anything, companies in all industries need to leverage data better to stay competitive. Studies show that over the past 12 months, the digitization of customer and supply ...

Is AI the future of the Web? In his brief commentary, Azeem Azhar lays out why the future of the Web is underpinned by AI, and what this means for the traditional business model of the internet. He ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

In 2019, a group of researchers at AI Sweden received funding from the Swedish Innovation Agency (Vinnova) for a project called Language model for Swedish Authorities. The goal was to produce language ...

An international team of around 1,000 largely academic volunteers has tried to break big tech’s stranglehold on natural-language processing and reduce its harms. Trained with US$7-million-worth of ...