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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
The Google AI Edge Gallery is an innovative, open-source Android application designed to showcase various applications of on-device machine learning and generative AI, allowing users to download and utilize models offline once installed. This app features a range of functionalities, such as AI Chat for engaging in multi-turn conversations, Ask Image for uploading images to inquire about objects or obtain descriptions, Audio Scribe for transcribing or translating audio files, and Prompt Lab for performing single-turn tasks like summarization and code generation. Additionally, it provides performance insights, offering metrics on aspects like latency and decode speed. Users have the flexibility to switch between compatible models, including options like Gemma 3n and models from Hugging Face, as well as the ability to incorporate their own LiteRT models while accessing model cards and source code for increased transparency. By processing all data locally on the device, the app prioritizes user privacy, requiring no internet connection for core functionalities after the initial model load, which ultimately minimizes latency and bolsters data security. Overall, the Google AI Edge Gallery empowers users to explore cutting-edge AI capabilities while maintaining their privacy and control over their data.
API Access
Has API
No
API Access
Has API
No
Integrations
Gemini
Yes
Gemini 1.5 Flash
Yes
Gemini 1.5 Pro
Yes
Gemini 2.0
Yes
Gemini 2.0 Flash
Yes
Gemini Enterprise
Yes
Gemini Nano
Yes
Gemini Pro
Yes
Gemma 3n
No
Google AI Plus
Yes
Integrations
Gemini
No
Gemini 1.5 Flash
No
Gemini 1.5 Pro
No
Gemini 2.0
No
Gemini 2.0 Flash
No
Gemini Enterprise
No
Gemini Nano
No
Gemini Pro
No
Gemma 3n
Yes
Google AI Plus
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
Yes
Windows
No
Mac
No
Linux
No
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
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Founded
1994
Country
United States
Website
blog.google/technology/ai/google-datagemma-ai-llm/
Vendor Details
Company Name
Country
United States
Website
github.com/google-ai-edge/gallery/