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.
SiliconANGLE

MongoDB combines database and embedding models for simplified AI development

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...
TechCrunch

Google debuts a new Gemini-based text embedding model

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical ...
VentureBeat

Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack

Yesterday amid a flurry of enterprise AI product updates, Google announced arguably its most significant one for enterprise customers: the public preview availability of Gemini Embedding 2, its new ...
Hosted on MSN

Google unveils Gemini Embedding 2, its first multimodal embedding model

Google has officially unveiled its first-ever multimodal embedding model, the Gemini Embedding 2. While AI started with being limited to text-only, with the help of Gemini Embedding 2, Google is ...

Microsoft's new Harrier models top benchmarks, outperforming Google's Gemini Embedding 20 0

With the surprise release of their new "Harrier" family of embedding models, Microsoft is making a massive play for the ...