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 ...
SiliconANGLE

OpenAI offers new embedding models, updates GPT-4 and GPT-3.5, and lowers API access cost

Artificial intelligence pioneer OpenAI today announced it is launching a new generation of embedding models that have the ability to convert text inputs into a numerical form for use in various ...
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 ...