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What is Grounded Language Model (GLM)?

Contextual AI has introduced its Grounded Language Model (GLM), a sophisticated system specifically designed to minimize errors and deliver highly dependable, source-verified responses for retrieval-augmented generation (RAG) as well as various agentic functions. This innovative model prioritizes accuracy by ensuring that answers are closely tied to distinct knowledge sources, complete with inline citations for verification. Demonstrating exceptional performance on the FACTS groundedness benchmark, the GLM outshines other foundational models in scenarios that require remarkable precision and reliability. Specifically engineered for professional sectors such as customer service, finance, and engineering, the GLM is instrumental in providing accurate and trustworthy replies, which are crucial for reducing risks and improving decision-making strategies. Additionally, its architecture showcases a dedication to fulfilling the stringent requirements of industries where maintaining information integrity is of utmost importance. The GLM's commitment to reliability ultimately positions it as a vital tool for organizations striving to enhance operational excellence and informed choices.

What is EigentBot?

EigentBot is an advanced intelligent agent solution that integrates Retrieval-Augmented Generation (RAG) functionalities with strong capabilities for function calls. This state-of-the-art framework enables EigentBot to effectively address user inquiries, gather relevant information, and execute necessary tasks, which culminates in accurate and context-aware responses. By leveraging these advanced technologies, EigentBot aims to enhance user engagement across diverse platforms. It offers a straightforward approach to building a secure and efficient AI knowledge base in just a few seconds, making it an excellent resource for improving customer service and ensuring high technical quality standards. Users can effortlessly switch between different AI service providers without any disruption, guaranteeing that their AI assistant is always equipped with the latest and most effective models. Moreover, EigentBot is engineered to continually update its knowledge base with fresh data from reliable sources like Notion, GitHub, and Google Scholar. To further enhance the precision of its information retrieval, EigentBot employs structured and visualized knowledge graphs, which greatly improve contextual understanding, leading to a more user-friendly experience. This innovative design not only streamlines tasks but also empowers users to achieve greater efficiency in their daily operations.

Media

Media

Integrations Supported

Contextual.ai
Discord
GitHub
Google Scholar
Hugging Face
LinkedIn
Mistral AI
Notion
OpenAI
Slack
X (Twitter)

Integrations Supported

Contextual.ai
Discord
GitHub
Google Scholar
Hugging Face
LinkedIn
Mistral AI
Notion
OpenAI
Slack
X (Twitter)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$8 per month
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

Contextual AI

Date Founded

2023

Company Location

United States

Company Website

contextual.ai/blog/introducing-grounded-language-model/

Company Facts

Organization Name

EigentBot

Date Founded

2024

Company Location

United Kingdom

Company Website

bot.eigent.ai/

Categories and Features

Categories and Features

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