Google unveils new AI model, Gemma 3 | The Daily Star
Google has recently unveiled Gemma 3, a new family of lightweight, open AI models designed to run efficiently on devices like phones, laptops, and workstations.
According to an official blog post, Gemma 3 is built on the same technology as Google's Gemini 2.0 models and is available in four sizes (1B, 4B, 12B, and 27B) to suit different hardware and performance needs.
Performance and Capabilities
The company claims Gemma 3 outperforms larger models like Llama-405B and DeepSeek-V3 in preliminary evaluations, making it a strong option for developers creating AI applications that require minimal computational resources. The model supports over 140 languages, with out-of-the-box functionality for 35, enabling developers to build multilingual applications.
Gemma 3 also features advanced text and visual reasoning capabilities, allowing it to analyze images, text, and short videos. It includes a 128,000-token context window for processing large amounts of information and supports function calling for automating tasks. Google has introduced quantized versions of the model to reduce size and computational requirements while maintaining accuracy.
Additional Features
Alongside Gemma 3, Google launched ShieldGemma 2, a 4B image safety checker designed to detect harmful content in images across categories like violence and explicit material.
Both models integrate with popular developer tools like Hugging Face, PyTorch, and Google AI Studio, allowing for easy customization and deployment.
Responsible Development and Support
Google emphasized responsible development, stating that Gemma 3 underwent rigorous safety testing, including evaluations for potential misuse in creating harmful substances.
Gemma 3 is part of Google's broader effort to make AI technology more accessible. Developers can explore the model through Google AI Studio, download it via platforms like Hugging Face and Kaggle, and deploy it using services like Vertex AI or Nvidia's API Catalog.
With a focus on efficiency, multilingual support, and accessibility, Gemma 3 aims to empower developers to create AI applications that run directly on devices, reducing reliance on extensive computational resources.
