10 Things You Must Know About AI Model Gemma By Google

Let’s delve into 10 key aspects about Gemma, Google’s latest generation of open AI models:

1. Origins and Inspiration: Gemma is a family of lightweight, state-of-the-art open models developed by Google DeepMind and other teams across Google. It draws from the same research and technology used to create the Gemini models. The name “Gemma” reflects its precious nature, akin to a gemstone.
2. Model Sizes: Gemma comes in two sizes:
   • Gemma 2B: A smaller variant.
   • Gemma 7B: A larger variant. Both sizes are released with pre-trained and instruction-tuned variants.
3. Responsible AI Toolkit: Google provides a Responsible Generative AI Toolkit alongside Gemma. This toolkit offers guidance and essential tools for creating safer AI applications using Gemma.
4. Framework Support: Gemma supports inference and supervised fine-tuning (SFT) across major frameworks such as JAX, PyTorch, and TensorFlow through native Keras 3.0.
5. Ease of Use: Developers can access Gemma through ready-to-use Colab and Kaggle notebooks. Integration with popular tools like Hugging Face, MaxText, NVIDIA NeMo, and TensorRT-LLM simplifies getting started with Gemma.
6. Deployment Flexibility: Pre-trained and instruction-tuned Gemma models can run on your laptop, workstation, or Google Cloud. Deployment options include Vertex AI and Google Kubernetes Engine (GKE).
7. Performance: Gemma models share technical components with Gemini, Google’s largest AI model. Despite their smaller sizes, Gemma 2B and 7B achieve best-in-class performance compared to other open models. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to rigorous standards for safe and responsible outputs.
8. Privacy Considerations: To ensure safety and reliability, Gemma pre-trained models undergo automated techniques that filter out certain personal information and sensitive data from training sets.
9. Commercial Usage: Google’s terms of use permit responsible commercial usage and distribution of Gemma for all organizations, regardless of size.
10. Ethical Design: Gemma is designed with Google’s AI Principles at the forefront, emphasizing responsible development and adherence to ethical standards.

In summary, Gemma represents a significant leap forward, bringing state-of-the-art technology to AI developers and researchers worldwide. Its focus on safety, performance, and ease of use makes it a valuable addition to the AI landscape.