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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 Celeris-1?

Celeris-1 distinguishes itself as a rapid and adaptable language model platform, enhanced by a diffusion model that provides state-of-the-art intelligence at remarkable speeds. In contrast to traditional autoregressive models that produce tokens one after another, Celeris utilizes a diffusion-based inference architecture that facilitates concurrent generation, leading to response times that can be recorded in just milliseconds. On the MMLU-Pro benchmark, Celeris-1 achieves an impressive accuracy rate of 75.9%, with a median response time of 158 milliseconds and an extraordinary output rate of 1,664 tokens per second, placing it in close proximity to top models while functioning more than ten times faster. This robust model is available through an API compatible with OpenAI, making it easy for developers to integrate it into their existing SDKs and applications with minimal effort. Moreover, it features streaming capabilities that cater to real-time applications, enabling response times as quick as 24 milliseconds without any interruptions or delays, which makes it particularly suitable for interactive scenarios. Additionally, Celeris-1’s innovative architecture not only enhances its performance but also sets a new standard for future language model development. Overall, Celeris-1 signifies a remarkable leap forward in the efficiency and capability of language models.

Media

Media

Integrations Supported

Contextual AI

Integrations Supported

OpenAI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.20 per 1M tokens

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

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

Celeris-1

Company Location

United States

Company Website

celeris.ai/

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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