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features
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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

Streamline your code migrations and dependency upgrades with Grit, which has successfully executed tens of thousands of changes for its beta users. Leveraging machine learning and static analysis, Grit automatically crafts pull requests aimed at reducing technical debt. Developers typically allocate one-third of their work hours to maintenance tasks, a burden that Grit alleviates. With Grit’s declarative syntax, you can establish your own coding idioms. The tool identifies numerous common sources of technical debt, allowing you to rectify them effortlessly with an automated pull request at the click of a button. Additionally, you can compose robust AST-aware queries to detect and resolve antipatterns within your codebase. Grit is designed to operate on every pull request, ensuring that migrations are consistently upheld and preventing regression. Embrace Grit to enhance your development efficiency and focus more on innovation than maintenance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

GitHub No 
JavaScript No 
Python No 
TypeScript No 
Visual Studio Code No 

Integrations

GitHub Yes 
JavaScript Yes 
Python Yes 
TypeScript Yes 
Visual Studio Code Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
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 No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Apple

Founded

1976

Country

United States

Website

github.com/apple/ml-ferret

Vendor Details

Company Name

Grit

Founded

2022

Website

www.grit.io

Product Features

Application Development

Access Controls/Permissions No 
Code Assistance No 
Code Refactoring No 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging No 
Deployment Management No 
Graphical User Interface No 
Mobile Development No 
No-Code No 
Reporting/Analytics No 
Software Development No 
Source Control No 
Testing Management No 
Version Control No 
Web App Development No 

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