Gemma 3 shares tech with Gemini 2.0, supports 35 languages, and offers models with up to 27B parameters. It can be trained through Vertex AI and Google Colab, and it includes a safety image ...

At Google I/O Connect India 2025, Google also revealed that Invideo is transforming video creation by using Gemini models ...

However, 2B serves Gemma well. Google claims this compact model can run locally without specially designed hardware and outperforms all GPT-3.5 models.

Compared with previous Gemma models, Gemma 3 has expanded from around 8,200 tokens to 128,000. Google also unveiled a new offering for image safety, dubbed ShieldGemma 2, which integrates with ...

The release of an efficient AI model, Gemma 3, presents a new catalyst for Google. Read what Gemma 3 could mean for AI development and deployment.

Optimized for edge devices such as phones, tablets, laptops, desktops, or single cloud accelerators, Gemma 3n models are available in two sizes based on “effective” parameters, E2B and E4B.

Developers and researchers can access Gemma on a variety of platforms. Compact AI models can be used to make chatbots and summarization tools. Google has released Gemma, a family of AI models ...

Learn More Today Google DeepMind unveiled Gemma, its new 2B and 7B open source models built from the same research and technology used to create the company’s recently-announced Gemini models.

While others scale up, Google scaled down — and won. GEMMA 3 is a small model with massive capabilities, showing that ...

The chart illustrates Gemma 2 2B’s superior performance compared to well-known models like GPT-3.5 and Llama 2, challenging the notion that bigger models are always better. (Image: Google) ...

Google DeepMind has just dropped a brand new AI model, Gemma 2 2B. It’s a 2 billion parameter model that is small enough to fit onto a smartphone and still offers GPT 3.5 levels of performance.