Models & Labs
Google Launches Gemini Embedding 2 Model
Sam Witteveenmedium confidence
Why it matters
- →The introduction of Gemini Embedding 2 represents a significant step in multimodal AI, allowing for more integrated and versatile applications across different media types.
Google has unveiled its latest multimodal embedding model, Gemini Embedding 2, which supports various data types including audio, text, images, documents, and videos. This model introduces new modalities and offers flexible output dimensions, enhancing its versatility for developers. A web demo and benchmarks are available, showcasing its capabilities. This release signifies Google's ongoing commitment to advancing AI models that integrate multiple forms of data.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
More from Sam Witteveen
More in Models & Labs
Models & Labsother
llama.cpp b11193 adds Snapdragon Hexagon and ROCm 10
This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
llama.cpp Releases
© Lev SelectorModels & Labsmodels
NVIDIA NVFP4 and SoL-Pi Token Efficiency
NVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.