Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

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

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

Artificial intelligence is rapidly transforming health care. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and stroke.

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 ...

AnyGPT is an innovative multimodal large language model (LLM) is capable of understanding and generating content across various data types, including speech, text, images, and music. This model is ...

Google has launched Gemini Embedding 2, its first fully multimodal embedding model based on the Gemini system. This model ...

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 ...

Following the recent AI offerings showdown between OpenAI and Google, Meta's AI researchers seem ready to join the contest with their own multimodal model. Multimodal AI models are evolved versions of ...

Google introduces Gemini Embedding 2, its first multimodal embedding model designed to map text, images, audio, and video into a single space.