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Description

DataGemma signifies a groundbreaking initiative by Google aimed at improving the precision and dependability of large language models when handling statistical information. Released as a collection of open models, DataGemma utilizes Google's Data Commons, a comprehensive source of publicly available statistical information, to root its outputs in actual data. This project introduces two cutting-edge methods: Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). The RIG approach incorporates real-time data verification during the content generation phase to maintain factual integrity, while RAG focuses on acquiring pertinent information ahead of producing responses, thereby minimizing the risk of inaccuracies often referred to as AI hallucinations. Through these strategies, DataGemma aspires to offer users more reliable and factually accurate answers, representing a notable advancement in the effort to combat misinformation in AI-driven content. Ultimately, this initiative not only underscores Google's commitment to responsible AI but also enhances the overall user experience by fostering trust in the information provided.

Description

Introducing Gemma 3n, our cutting-edge open multimodal model designed specifically for optimal on-device performance and efficiency. With a focus on responsive and low-footprint local inference, Gemma 3n paves the way for a new generation of intelligent applications that can be utilized on the move. It has the capability to analyze and respond to a blend of images and text, with plans to incorporate video and audio functionalities in the near future. Developers can create smart, interactive features that prioritize user privacy and function seamlessly without an internet connection. The model boasts a mobile-first architecture, significantly minimizing memory usage. Co-developed by Google's mobile hardware teams alongside industry experts, it maintains a 4B active memory footprint while also offering the flexibility to create submodels for optimizing quality and latency. Notably, Gemma 3n represents our inaugural open model built on this revolutionary shared architecture, enabling developers to start experimenting with this advanced technology today in its early preview. As technology evolves, we anticipate even more innovative applications to emerge from this robust framework.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Gemini Yes 
Gemini Enterprise Yes 
Gemini Nano Yes 
Gemini 1.5 Pro Yes 
Gemini 2.0 Yes 
Gemini 2.0 Flash Yes 
Gemini Enterprise Agent Platform No 
Gemini Pro Yes 
Gemma No 
Google AI Edge No 
Google AI Edge Gallery No 
Google AI Plus Yes 
Google AI Studio No 
Google Cloud Platform No 
Hugging Face No 
JAX No 
Keras No 
Ollama No 
OpenCode No 
PyTorch No 

Integrations

Gemini Yes 
Gemini Enterprise Yes 
Gemini Nano Yes 
Gemini 1.5 Pro No 
Gemini 2.0 No 
Gemini 2.0 Flash No 
Gemini Enterprise Agent Platform Yes 
Gemini Pro No 
Gemma Yes 
Google AI Edge Yes 
Google AI Edge Gallery Yes 
Google AI Plus No 
Google AI Studio Yes 
Google Cloud Platform Yes 
Hugging Face Yes 
JAX Yes 
Keras Yes 
Ollama Yes 
OpenCode Yes 
PyTorch Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Google

Founded

1994

Country

United States

Website

blog.google/technology/ai/google-datagemma-ai-llm/

Vendor Details

Company Name

Google DeepMind

Founded

2010

Country

United Kingdom

Website

deepmind.google/models/gemma/gemma-3n/

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