Model ● Covered in 1 story + Follow
This profile is built automatically from TLDRocket coverage.
No specifications recorded yet.
Google DeepMind releases EmbeddingGemma 2, an Apache 2.0 open multimodal embedding model for on-device cross-modal search and retrieval Open source release
The daily briefing
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.
TLDRocket
6 October 2026
Google’s EmbeddingGemma 2 did the most to shift what “AI” means this week: not a flashy chat window, but the index and retrieval underneath it. The open Apache 2.0 model moves beyond text into a shared multimodal embedding space for images, audio, and video, with 740 million parameters and a design target of running on a smartphone. Google says on a Pixel 11 Pro it can sit around 567MB of active RAM, and developers can shrink embedding vectors down to 128 numbers (or 512/256/128) without retraining—crucial when your vector database is bigger than the model you’re hoping it will power.
Read the full briefing →