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What is GritGene?
GritGene is an advanced digital engine created by GritWorld, boasting a customizable rendering pipeline and intuitive workflows designed for filmmakers. This powerful tool allows users to produce impressive VFX and CGI animations without having to navigate the complexities of traditional game-engine techniques. Following thorough internal testing and refinement, GritGene is now ready for a closed beta launch aimed at a chosen group of users. In response to the swift progress within the industry, we are committed to pushing the boundaries of real-time graphics, highlighted by our integration of Raytracing technology. We take pride in contributing to the evolution of real-time technological advancements. Developing the ideal solution at the right time presents considerable challenges, which is why we meticulously designed the engine with these factors in mind. As the tech landscape evolves, our goal is to provide adaptable and interchangeable solutions that can grow with the needs of users. GritGene showcases a fully scalable rendering pipeline, supported by a state-of-the-art UI framework and a flexible render core, ensuring it caters to the varied demands of its users. This level of adaptability makes GritGene an indispensable resource for filmmakers aiming to enhance their creative endeavors and bring their visions to life. Ultimately, GritGene represents a significant step forward in empowering creators in the ever-changing landscape of digital media.
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.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
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
GritWorld
Company Location
Germany
Company Website
en.gritgene.com
Company Facts
Organization Name
Apple
Date Founded
1976
Company Location
United States
Company Website
github.com/apple/ml-ferret