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What is Ferret?

A sophisticated End-to-End MLLM has been developed to accommodate various types of references and effectively ground its responses. The Ferret Model employs a unique combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which facilitates detailed and adaptable referring and grounding functions within the MLLM framework. Serving as a foundational element, the GRIT Dataset consists of about 1.1 million entries, specifically designed as a large-scale and hierarchical dataset aimed at enhancing instruction tuning in the ground-and-refer domain. Moreover, the Ferret-Bench acts as a thorough multimodal evaluation benchmark that concurrently measures referring, grounding, semantics, knowledge, and reasoning, thus providing a comprehensive assessment of the model's performance. This elaborate configuration is intended to improve the synergy between language and visual information, which could lead to more intuitive AI systems that better understand and interact with users. Ultimately, advancements in these models may significantly transform how we engage with technology in our daily lives.

What is Aware?

Aware transforms data from digital communication platforms such as Slack, Teams, and Zoom into actionable insights that help organizations identify risks while enhancing their overall intelligence at scale. As digital communication infiltrates every facet of your organization, it serves as the foundation for contemporary workflows and employee interactions, representing one of the fastest-growing datasets within your enterprise. This unstructured data features a unique language and emotional subtleties, often communicated through concise, genuine messages that are typically five words or fewer. These brief exchanges are often enhanced with emojis, abbreviations, and multimedia elements shared across diverse private, direct, and public channels on multiple collaboration tools. Traditional technologies often fall short in understanding the context surrounding this complex dataset and the specific behaviors of its users. Aware excels in interpreting this information, revealing hidden risks and generating insights that foster innovation and enhance business value. By delivering contextualized intelligence, Aware equips your organization to fully leverage its digital conversations, ensuring that you remain proactive in addressing challenges while seizing potential opportunities for growth. Moreover, this capability allows organizations to cultivate a more agile and responsive workplace culture, ultimately driving enhanced collaboration and productivity among team members.

Media

Media

Integrations Supported

Integrations Supported

Azure Marketplace
Cisco Webex
Google Drive
Microsoft 365
Microsoft Teams
Pocus
Slack
WorkJam
Zoom

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Apple

Date Founded

1976

Company Location

United States

Company Website

github.com/apple/ml-ferret

Company Facts

Organization Name

Aware

Company Location

United States

Company Website

www.awarehq.com

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

Risk Management

Not specified

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