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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 Beam?

Beam marks the launch of Reflection’s first open-weight model, distinguished by its sparse Mixture-of-Experts architecture, which boasts an impressive 501 billion parameters, with 23 billion actively engaged, specifically designed for tasks related to coding, reasoning, and agentic functions. This model's capabilities stem from rigorous pretraining and reinforcement learning, built upon a massive dataset of 23.8 trillion diverse, high-quality tokens obtained from various sources, including the internet, public domains, and proprietary licenses. By focusing on optimizing coding and agentic functionalities, Beam aims to deliver competitive performance in the open-weight space while prioritizing efficient inference computation. It is proficient in managing a diverse range of tasks, such as complex software development, terminal commands, STEM-related activities, web searches, tool application, and general knowledge queries. Utilizing reinforcement learning methods enhances its proficiency in multi-step reasoning, effective tool use, and adaptability to environmental cues. Furthermore, users can customize the model's output by adjusting a reasoning effort parameter, allowing for a tailored balance between efficiency and performance to meet their individual requirements. In essence, Beam is not only a technological advancement but also a versatile tool that empowers users to navigate complex tasks with precision.

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

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Oxford Semantic Technologies

Company Location

United Kingdom

Company Website

www.oxfordsemantic.tech/rdfox

Company Facts

Organization Name

Reflection

Company Location

United States

Company Website

reflection.ai/blog/introducing-beam

Categories and Features

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

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