Gemma 3 is a collection of lightweight, state-of-the-art open models built from the same research and technology that powers our Gemini 2.0 models. → https://goo.gle/3Dxcg84 Our high-performing foundation models leverage the power of NVIDIA’s GPUs, are available in a range of sizes (1B, 4B, 12B, 27B), and offer capabilities such as support for 140+ languages, multimodal understanding, faster on-device runtime, and a 128K-token context window. We’re also launching ShieldGemma 2, a powerful 4B image safety checker built on Gemma 3. Developers can customize ShieldGemma 2 to suit their safety needs. Ready to start building? Experiment in Google AI Studio and get access to Gemma 3 on Kaggle, Hugging Face, and Ollama.
关于我们
Our goal is to equip developers with the most advanced models to build new applications, helpful tools to write better and faster code, and make it easy to integrate across platforms and devices.
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https://goo.gle/ai-devs
Google AI for Developers的外部链接
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Need help building AI agents? Take a look at this end-to-end guide to function calling with Gemini 2.0 Flash from Google DeepMind's Philipp Schmid ↓
AI Developer Experience at Google DeepMind ?? prev: Tech Lead at Hugging Face, AWS ML Hero ?? Sharing my own views and AI News
Function Calling, What is it? How does it work with Google DeepMind Gemini 2.0? How can i build Agents? Excited the only end-to-end function calling guide, you need for building with Gemini 2.0 Flash, covering: ???How does function calling work, the process ???Setup environment and obtain a Gemini API key ???Using Google Gemini 2.0 Flash and JSON schema ???Using Google Gemini 2.0 Flash and Python SDK ???Function Calling with LangChain and Gemini 2.0 Flash ???Function Calling with OpenAI Compatible API blog: https://lnkd.in/ehUUwDAQ
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Generate scalable game content with AI. This year’s Google I/O puzzle uses the Gemini API to generate dynamic riddles to unlock bonus worlds. See the code: https://goo.gle/4kTr3KY
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Check out cool ways to use Gemma as your own travel assistant with Google DeepMind’s Aishwarya Kamath, who led the multimodal effort on Gemma 3.
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Learn more about the latest updates to the Gemma family and how they enable developers to build safe and responsible AI ?? → https://goo.gle/3DJ0tDI
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?? Native image generation is now available to developers with Gemini 2.0 Flash Experimental. Powerful image generation and conversational image editing is available via the Gemini API. → https://goo.gle/43ExECP Developers can now use Gemini 2.0 Flash Experimental to: ?? Build AI agents that create images ?? Design apps that generate visuals on-demand ?? Brainstorm ideas and quickly prototype visuals Explore image generation with Gemini 2.0 Flash Experimental via the Gemini API in Google AI Studio. → https://goo.gle/420Mxhz
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?? Introducing the Gemma 3 Academic Program, which allows researchers to apply for Google Cloud credits to fast-track their Gemma 3-based research. Applications are now open. → https://goo.gle/4kKo2g0
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Check out what you can do with Gemma 3 on mobile and web with Google AI Edge. → https://goo.gle/3FsF2av With the new model fully on-device, take advantage of Edge AI benefits like: ? Offline availability ? Cost-efficiency ? Lower latency Get the demo app, download the model from Hugging Face, and start building.
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