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What is Mistral Small 3.1?

Mistral Small 3.1 is an advanced, multimodal, and multilingual AI model that has been made available under the Apache 2.0 license. Building upon the previous Mistral Small 3, this updated version showcases improved text processing abilities and enhanced multimodal understanding, with the capacity to handle an extensive context window of up to 128,000 tokens. It outperforms comparable models like Gemma 3 and GPT-4o Mini, reaching remarkable inference rates of 150 tokens per second. Designed for versatility, Mistral Small 3.1 excels in various applications, including instruction adherence, conversational interaction, visual data interpretation, and executing functions, making it suitable for both commercial and individual AI uses. Its efficient architecture allows it to run smoothly on hardware configurations such as a single RTX 4090 or a Mac with 32GB of RAM, enabling on-device operations. Users have the option to download the model from Hugging Face and explore its features via Mistral AI's developer playground, while it is also embedded in services like Gemini Enterprise Agent Platform and accessible on platforms like NVIDIA NIM. This extensive flexibility empowers developers to utilize its advanced capabilities across a wide range of environments and applications, thereby maximizing its potential impact in the AI landscape. Furthermore, Mistral Small 3.1's innovative design ensures that it remains adaptable to future technological advancements.

What is DataGemma?

DataGemma represents a revolutionary effort by Google designed to enhance the accuracy and reliability of large language models, particularly in their processing of statistical data. Launched as a suite of open models, DataGemma leverages Google's Data Commons, an extensive repository of publicly accessible statistical information, ensuring that its outputs are grounded in actual data. This initiative unveils two innovative methodologies: Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). The RIG technique integrates real-time data validation throughout the content creation process to uphold factual correctness, while RAG aims to gather relevant information before generating responses, significantly reducing the likelihood of inaccuracies often labeled as AI hallucinations. By employing these approaches, DataGemma seeks to provide users with more trustworthy and factually sound answers, marking a significant step forward in the battle against misinformation in AI-generated content. Moreover, this initiative not only highlights Google's dedication to ethical AI practices but also improves user engagement by building confidence in the material presented. By focusing on the intersection of data integrity and user trust, DataGemma aims to redefine the standards of information accuracy in the digital landscape.

Media

Media

Integrations Supported

C++
Clojure
Elixir
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini Enterprise
Gemini Enterprise Agent Platform Notebooks
Gemini Nano
Gemini Pro
Go
GrimoAI
JavaScript
Microsoft Foundry
NVIDIA NIM
PHP
Ruby
Rust
TypeScript

Integrations Supported

C++
Clojure
Elixir
Gemini
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini Enterprise
Gemini Enterprise Agent Platform Notebooks
Gemini Nano
Gemini Pro
Go
GrimoAI
JavaScript
Microsoft Foundry
NVIDIA NIM
PHP
Ruby
Rust
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mistral

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/mistral-small-3-1

Company Facts

Organization Name

Google

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

Categories and Features

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