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What is XLNet?

XLNet presents a groundbreaking method for unsupervised language representation learning through its distinct generalized permutation language modeling objective. In addition, it employs the Transformer-XL architecture, which excels in managing language tasks that necessitate the analysis of longer contexts. Consequently, XLNet achieves remarkable results, establishing new benchmarks with its state-of-the-art (SOTA) performance in various downstream language applications like question answering, natural language inference, sentiment analysis, and document ranking. This innovative model not only enhances the capabilities of natural language processing but also opens new avenues for further research in the field. Its impact is expected to influence future developments and methodologies in language understanding.

What is Altar-1?

The Aikido Altar is a state-of-the-art open-weight security framework designed to provide organizations with sophisticated defensive security intelligence specifically adapted to their infrastructure needs. This system is particularly effective in environments that demand sovereign security, safeguarding sensitive materials such as source code, architectural blueprints, vulnerability reports, and various confidential data within the organization's perimeter, preventing any sharing with outside inference services. Utilizing the GLM-5.3 architecture, Altar incorporates methods like quantization and expert pruning that reduce the model size from a substantial 1.51 TB in full precision to a more manageable 328 GB, while still preserving most of the original model's reasoning and security capabilities. The architecture maintains 168 of the originally 256 routed experts in each backbone expert layer and employs a W4A16 representation, improving its utility for security tasks that necessitate managing large and evolving context windows. Expert selection was calibrated using internal pentesting data alongside multilingual resources, ensuring that no client data was involved, thus maintaining the integrity of cybersecurity, programming, and language processing capabilities. This groundbreaking strategy not only simplifies the deployment process but also enhances the organization's defense against new and evolving threats, ensuring robust protection in an increasingly complex digital landscape. Furthermore, the ongoing development of additional features aims to further bolster the system’s resilience and adaptability to future security challenges.

Media

Media

Integrations Supported

Spark NLP

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$350 per month
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

XLNet

Date Founded

2019

Company Website

github.com/zihangdai/xlnet

Company Facts

Organization Name

Aikido Security

Date Founded

2022

Company Location

Belgium

Company Website

www.aikido.dev/blog/aikido-altar-open-weight-ai-sovereign-security

Categories and Features

AI Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

Categories and Features

AI Cybersecurity

Not specified

AI Models

Not specified

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