Although Gemma 2 2B contains just 2.6 billion parameters, Google said it demonstrates performance that’s on a par with, and sometimes even superior to much larger counterparts, including OpenAI ...

Today, Google announced it launched a family of lightweight open-source AI models built off the same technical and infrastructure components as Gemini. This family of open models is known as Gemma ...

As Google continues to refine Gemma, it is anticipated that future iterations will overcome the current shortcomings. Google’s Gemma AI model has made a splash in the competitive AI landscape ...

At this year’s Google I/O developer conference, the company is introducing its Gemma 2 series, with the first member being a much larger lightweight model with 27 billion parameters.

Gemma models share technical and infrastructure components with Gemini, Google’s largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class ...

Google also released a Responsible Generative AI Toolkit that includes guidance, a model debugging tool to “investigate Gemma’s behavior and address potential issues,” and safety classification.

According to Google, the Gemma models proved very capable for their sizes, outperforming larger open models, such as Meta's Llama-2, on key benchmarks for reasoning, math, and code, as seen in the ...

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 ...

Pre-trained and instruction-tuned Gemma models can run on your laptop, workstation, or Google Cloud with easy deployment on Vertex AI and Google Kubernetes Engine (GKE).

Gemma models, built on Google's AI principles, are designed to outperform other models in size and performance. Developers gain free access to Gemma on Kaggle, Colab notebooks, and receive Google ...

As such, it also introduced the Responsible Generative AI Toolkit alongside Gemma. It contains a debugging tool, as well as a guide with best practices for AI development based on Google's experience.