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Accountable by design
Gemma is designed with our AI Ideas on the forefront. As a part of making Gemma pre-trained fashions protected and dependable, we used automated strategies to filter out sure private info and different delicate information from coaching units. Moreover, we used in depth fine-tuning and reinforcement studying from human suggestions (RLHF) to align our instruction-tuned fashions with accountable behaviors. To grasp and scale back the danger profile for Gemma fashions, we performed strong evaluations together with handbook red-teaming, automated adversarial testing, and assessments of mannequin capabilities for harmful actions. These evaluations are outlined in our Mannequin Card.
We’re additionally releasing a brand new Accountable Generative AI Toolkit along with Gemma to assist builders and researchers prioritize constructing protected and accountable AI functions. The toolkit contains:
Security classification: We offer a novel methodology for constructing strong security classifiers with minimal examples.Debugging: A mannequin debugging software helps you examine Gemma’s conduct and handle potential points.Steerage: You may entry finest practices for mannequin builders primarily based on Google’s expertise in creating and deploying massive language fashions.
Optimized throughout frameworks, instruments and {hardware}
You may fine-tune Gemma fashions by yourself information to adapt to particular software wants, resembling summarization or retrieval-augmented technology (RAG). Gemma helps all kinds of instruments and techniques:
Multi-framework instruments: Carry your favourite framework, with reference implementations for inference and fine-tuning throughout multi-framework Keras 3.0, native PyTorch, JAX, and Hugging Face Transformers.Cross-device compatibility: Gemma fashions run throughout widespread system varieties, together with laptop computer, desktop, IoT, cellular and cloud, enabling broadly accessible AI capabilities.Chopping-edge {hardware} platforms: We’ve partnered with NVIDIA to optimize Gemma for NVIDIA GPUs, from information heart to the cloud to native RTX AI PCs, making certain industry-leading efficiency and integration with cutting-edge expertise.Optimized for Google Cloud: Vertex AI offers a broad MLOps toolset with a spread of tuning choices and one-click deployment utilizing built-in inference optimizations. Superior customization is out there with fully-managed Vertex AI instruments or with self-managed GKE, together with deployment to cost-efficient infrastructure throughout GPU, TPU, and CPU from both platform.
Free credit for analysis and improvement
Gemma is constructed for the open group of builders and researchers powering AI innovation. You can begin working with Gemma at this time utilizing free entry in Kaggle, a free tier for Colab notebooks, and $300 in credit for first-time Google Cloud customers. Researchers may apply for Google Cloud credit of as much as $500,000 to speed up their tasks.
Getting began
You may discover extra about Gemma and entry quickstart guides on ai.google.dev/gemma.
As we proceed to develop the Gemma mannequin household, we stay up for introducing new variants for numerous functions. Keep tuned for occasions and alternatives within the coming weeks to attach, be taught and construct with Gemma.
We’re excited to see what you create!
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