Google launches EmbeddingGemma 2, an open multimodal embedding model for devices

Covered by 5 sources
Read the full article
Google released EmbeddingGemma 2, a 740M-parameter open multimodal embedding model that runs entirely on devices like phones, mapping text, code, images, audio, and video into a shared space without cloud reliance. It supports 100+ languages, requires modest memory, and aims to enhance privacy by keeping data local.

Covered by 5 sources


More in Machine Learning

Machine Learning3 min read

Microsoft launches a decision model built on Alibaba’s Qwen

The Next Web
Machine Learning12 min read

Turning Opportunistic AI Inference Capacity Into Better Ads Recommendations

Meta AI News
Machine Learning11 min read

Deploy decision models with llama.cpp on Amazon SageMaker AI

AWS Blog