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Description

Contextual AI has unveiled its Grounded Language Model (GLM), which is meticulously crafted to reduce inaccuracies and provide highly reliable, source-based replies for retrieval-augmented generation (RAG) as well as agentic applications. This advanced model emphasizes fidelity to the information provided, ensuring that responses are firmly anchored in specific knowledge sources and are accompanied by inline citations. Achieving top-tier results on the FACTS groundedness benchmark, the GLM demonstrates superior performance compared to other foundational models in situations that demand exceptional accuracy and dependability. Tailored for enterprise applications such as customer service, finance, and engineering, the GLM plays a crucial role in delivering trustworthy and exact responses, which are essential for mitigating risks and enhancing decision-making processes. Furthermore, its design reflects a commitment to meeting the rigorous demands of industries where information integrity is paramount.

Description

Muse Wonder Full is a frontier AI model developed by Meta to support advanced reasoning, personal assistance, professional workflows, and autonomous software development. It is the larger model variant in the Muse Wonder series, which also includes the standard Muse Wonder model. The system combines Active Memory and Active Focus to maintain relevant context and sustain progress on complex assignments. Active Memory enables the model to preserve important information across conversations and retrieve details relevant to current objectives. Active Focus supports multistep execution by allowing the model to investigate alternative solutions, respond to obstacles, and adjust its approach as tasks evolve. Muse Wonder Full can assist with legal document analysis, financial reasoning, health-related information, and other knowledge-intensive activities. Its software engineering capabilities support code generation, application development, debugging, testing, and modifications across existing codebases. Meta has evaluated the model using benchmarks such as MemoryBench, FocusBench, SWE-Marathon, DeepSWE, and professional agent assessments. Muse Wonder Full is accessible through Muse Code subscriptions and is intended for tasks that require extended reasoning, contextual continuity, and coordinated AI agent execution.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

C No 
CSS No 
Cheaper Inference No 
Cloudflare No 
Codex CLI No 
Continue No 
Cursor No 
Instagram No 
LangChain No 
LlamaIndex No 
Meta Model API No 
Muse Code No 
Odysseus No 
OpenClaw No 
OpenCode No 
PowerShell No 
Rust No 
SQL No 
Vercel AI SDK No 
WhatsApp No 

Integrations

C Yes 
CSS Yes 
Cheaper Inference Yes 
Cloudflare Yes 
Codex CLI Yes 
Continue Yes 
Cursor Yes 
Instagram Yes 
LangChain Yes 
LlamaIndex Yes 
Meta Model API Yes 
Muse Code Yes 
Odysseus Yes 
OpenClaw Yes 
OpenCode Yes 
PowerShell Yes 
Rust Yes 
SQL Yes 
Vercel AI SDK Yes 
WhatsApp Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$50/month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Contextual AI

Founded

2023

Country

United States

Website

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

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai/

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