While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Google unveils Gemini Embedding 2, a multimodal AI model for RAG, semantic search and clustering across 100+ languages.

The AI industry has long been dominated by text-based large language models (LLMs), but the future lies beyond the written word. Multimodal AI represents the next major wave in artificial intelligence ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Microsoft has unveiled the Phi-4 series, the latest iteration in its Phi family of AI models, designed to advance multimodal processing and enable efficient local deployment. This series introduces ...

Twelve Labs Inc., the developer of generative artificial intelligence foundation models that can understand videos like humans, said today that the company has raised $50 million in early-stage ...

Meta has decided to not offer its upcoming multimodal AI model and future versions to customers in the European Union citing a lack of clarity from European regulators, according to a statement given ...

Unless developers and governments adjust their practices around generative AI, large multimodal models may be adopted faster than they can be made safe for use, warns a new paper by the World Health ...

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 ...