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Gemma 3N Preview: On-Device AI with Enhanced Multimodal Capabilities

Google for DevelopersMay 27, 20255 min316,427 views
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Introducing Gemma 3N

  • πŸš€ Gemma 3N is announced as the latest model focused on unlocking compelling on-device experiences and leveraging portable compute.
  • πŸ’‘ The 'N' in Gemma 3N signifies its core design around efficiency and state-of-the-art on-device performance, stemming from its lineage with nanoiz models.
  • πŸ”‘ Gemma 3N is built on the same technology as Gemini Nano models, offering developers an early preview of cutting-edge architecture for next-generation on-device experiences.

Enhanced Capabilities

  • ✨ Gemma 3N delivers best-ever quality for a small model, meticulously tailored for on-device use cases.
  • 🧠 Revolutionary capabilities include on-device function calling and interleaved text and image understanding.
  • πŸ—£οΈ For the first time in the Gemma family, it can understand audio and video inputs, allowing natural interaction with applications.
  • 🎯 Demonstrations showcased include saving notes, generating poems, calculating room dimensions, and identifying figures like Einstein.

Performance and Flexibility

  • ⚑ Gemma 3N features the most efficient inference profile for on-device AI, optimized for mobile processors, leading to significantly faster processing.
  • ⏱️ Prefill time is much faster compared to previous Gemma 34B models, with less memory usage, ensuring fluid and responsive applications.
  • 🧩 A unique 2-in-1 transformer architecture includes a smaller embedded submodel, allowing dynamic choice between peak quality or greater speed and lower resource usage on the fly.

Open and Accessible AI

  • 🌐 Gemma 3N embodies Google's commitment to open, accessible AI models for everyone.
  • 🀝 It incorporates advancements from Android, Chrome, and Pixel teams, ensuring robustness for real-world on-device deployment.
  • πŸ› οΈ Developers can explore the models using various tools and providers, with excitement for what Gemma 3 unlocks.
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Gemma 3NOn-Device AIGemini NanoMultimodal AIAudio UnderstandingVideo UnderstandingFunction CallingMobile AIAI EfficiencyTransformer ArchitectureOpen AI ModelsAndroid AICorePixel Tensor
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