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.
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New release of llama.cpp b8991
The latest version b8991 of llama.cpp has been released, featuring updates for various operating systems.
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llama.cpp update enhances compatibility and performance
The latest update to llama-mmap improves compatibility with various platforms and model sizes. Key enhancements include support for 32-bit wasm and updates to gguf.cpp style.
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