DataGemma

DataGemma

Google
Gemma

Gemma

Google
+
+

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About

DataGemma represents a pioneering effort by Google to enhance the accuracy and reliability of large language models (LLMs) when dealing with statistical and numerical data. Launched as a set of open models, DataGemma leverages Google's Data Commons, a vast repository of public statistical data—to ground its responses in real-world facts. This initiative employs two innovative approaches: Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). The RIG method integrates real-time data checks during the generation process to ensure factual accuracy, while RAG retrieves relevant information before generating responses, thereby reducing the likelihood of AI hallucinations. By doing so, DataGemma aims to provide users with more trustworthy and factually grounded answers, marking a significant step towards mitigating the issue of misinformation in AI-generated content.

About

Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is inspired by Gemini, and the name reflects the Latin gemma, meaning “precious stone.” Accompanying our model weights, we’re also releasing tools to support developer innovation, foster collaboration, and guide the responsible use of Gemma models. Gemma models share technical and infrastructure components with Gemini, our largest and most capable AI model widely available today. This enables Gemma 2B and 7B to achieve best-in-class performance for their sizes compared to other open models. And Gemma models are capable of running directly on a developer laptop or desktop computer. Notably, Gemma surpasses significantly larger models on key benchmarks while adhering to our rigorous standards for safe and responsible outputs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers in need of a tool to reduce AI hallucination by anchoring LLMs in real-world statistical information

Audience

Developers wanting a powerful suite of open AI models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1994
United States
blog.google/technology/ai/google-datagemma-ai-llm/

Company Information

Google
Founded: 1998
United States
ai.google.dev/gemma

Alternatives

Gemma

Gemma

Google

Alternatives

Gemma 3

Gemma 3

Google
Gemini Nano

Gemini Nano

Google
Gemma 4

Gemma 4

Google
Gemma 2

Gemma 2

Google
CodeGemma

CodeGemma

Google
Gemma 3

Gemma 3

Google
Gemma 2

Gemma 2

Google
Gemma 4

Gemma 4

Google

Categories

Categories

Integrations

AiAssistWorks
Androidfy
Axolotl
Clojure
F#
Gemini 1.5 Pro
Gemini Nano
Gemma 3n
Google AI Studio
HTML
JavaScript
Onyxium
Private LLM
SQL
Scala
TURBOARD
TranslateGemma
TypeScript
Unsloth
WebLLM

Integrations

AiAssistWorks
Androidfy
Axolotl
Clojure
F#
Gemini 1.5 Pro
Gemini Nano
Gemma 3n
Google AI Studio
HTML
JavaScript
Onyxium
Private LLM
SQL
Scala
TURBOARD
TranslateGemma
TypeScript
Unsloth
WebLLM
Claim DataGemma and update features and information
Claim DataGemma and update features and information
Claim Gemma and update features and information
Claim Gemma and update features and information