The Decoder· Matthias Bastian·· 10 d ago
Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size
Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size
AI summary
Google released EmbeddingGemma 2, an open model with 740 million parameters that converts text, images, video, audio, and code into vectors. It runs on-device, needs only about 191 MB of RAM, and outperforms some competing models twice its size, according to Google.
Selection record
Threshold 76Media and individualsFirst 62Second 62
Not admittedSum of both 124 < twice the threshold 152
- Source tier
- Media and individuals; this tier's threshold is 76
- Pre-filter
- passed：发布AI嵌入模型及基准评测
- Same event
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: The Decoder · the-decoder.com