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What is RDFox?

Oxford Semantic Technologies, founded by a trio of professors from the University of Oxford, has created RDFox, a premier knowledge graph and semantic reasoning engine, as a result of extensive studies in Knowledge Representation and Reasoning (KRR). This sophisticated AI reasoning engine mimics human reasoning, delivering remarkable capabilities that emphasize accuracy, veracity, and clarity. RDFox produces new insights exclusively from authenticated data, assuring that its results are firmly rooted in reality. Its distinctive incremental reasoning capability allows AI-driven consequences to be applied to the database in real-time as data is updated or introduced, thus removing the requirement for system restarts. This method also ensures that only relevant information is modified, which enhances efficiency by negating the need to reassess the entire dataset. Thanks to these groundbreaking features, RDFox is poised to significantly impact the evolution of AI applications, paving the way for more intelligent and responsive systems. The potential applications of RDFox across various industries could redefine how organizations leverage data for decision-making.

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.

Media

Media

Integrations Supported

AWS Marketplace
Google Sheets
JSON
Java
Microsoft Excel

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Oxford Semantic Technologies

Company Location

United Kingdom

Company Website

www.oxfordsemantic.tech/rdfox

Company Facts

Organization Name

Apple

Date Founded

1976

Company Location

United States

Company Website

github.com/apple/ml-ferret

Categories and Features

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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