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Description

An advanced End-to-End MLLM is designed to accept various forms of references and effectively ground responses. The Ferret Model utilizes a combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which allows for detailed and flexible referring and grounding capabilities within the MLLM framework. The GRIT Dataset, comprising approximately 1.1 million entries, serves as a large-scale and hierarchical dataset specifically crafted for robust instruction tuning in the ground-and-refer category. Additionally, the Ferret-Bench is a comprehensive multimodal evaluation benchmark that simultaneously assesses referring, grounding, semantics, knowledge, and reasoning, ensuring a well-rounded evaluation of the model's capabilities. This intricate setup aims to enhance the interaction between language and visual data, paving the way for more intuitive AI systems.

Description

Automating the reference checking process through online systems enables your team to save time, reduce the risk of human errors, and allows references to fill out surveys at their convenience. While finding reliable volunteers may prove challenging, verifying their backgrounds doesn’t have to be. There are candidates who might not align well with your organization’s values, and traditional background checks may overlook this issue. Enhance your organization's security with efficient reference checks that provide an additional safeguard. For a single fee per applicant, you can utilize our automated reference checking software to evaluate up to 50 references. This system facilitates the collection of fast and unbiased feedback from various references for all your candidates. You can distribute standardized reference questionnaires to as many individuals as you wish, making it simple to compile objective evaluations swiftly and efficiently. This streamlined process not only supports better hiring decisions but also fosters a more reliable vetting system.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$8.95 one-time payment
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apple

Founded

1976

Country

United States

Website

github.com/apple/ml-ferret

Vendor Details

Company Name

Interactive HR

Country

United States

Website

onlinereferencecheck.com

Product Features

Product Features

Reference Check

Audio References
Bulk Reference Request
Candidate Scoring
Completion Alerts
Email / Online
Mobile Access
Reminders
Reporting/Analytics
Survey Builder
Survey Library
Video References

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