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.

Google announced a breakthrough technology called CALM that speeds up large language models (like GPT-3 and LaMDA) without compromising performance levels. Larger Training Data Is Better But Comes ...

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...

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 ...

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 ...

It’s an ambitious project in its early stages, but Google thinks it will have benefits across its entire product ecosystem. It’s an ambitious project in its early stages, but Google thinks it will ...

Among the myriad abilities that humans possess, which ones are uniquely human? Language has been a top candidate at least since Aristotle, who wrote that humanity was “the animal that has language.” ...

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 ...