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Description

Nova 2 Pro represents the pinnacle of Amazon’s Nova family, offering unmatched reasoning depth for enterprises that depend on advanced AI to solve demanding operational challenges. It supports multimodal inputs including video, audio, and long-form text, allowing it to synthesize diverse information sources and deliver expert-grade insights. Its performance leadership spans complex instruction following, high-stakes decision tasks, agentic workflows, and software engineering use cases. Benchmark testing shows Nova 2 Pro outperforms or matches the latest Claude, GPT, and Gemini models across numerous intelligence and reasoning categories. Equipped with built-in web search and executable code capability, it produces grounded, verifiable responses ideal for enterprise reliability. Organizations also use Nova 2 Pro as a foundation for training smaller, faster models through distillation, making it adaptable for custom deployments. Its multimodal strengths support use cases like video comprehension, multi-document Q&A, and sophisticated data interpretation. Nova 2 Pro ultimately empowers teams to operate with higher accuracy, faster iteration cycles, and safer automation across critical workflows.

Description

EXAONE Deep represents a collection of advanced language models that are enhanced for reasoning, created by LG AI Research, and come in sizes of 2.4 billion, 7.8 billion, and 32 billion parameters. These models excel in a variety of reasoning challenges, particularly in areas such as mathematics and coding assessments. Significantly, the EXAONE Deep 2.4B model outshines other models of its size, while the 7.8B variant outperforms both open-weight models of similar dimensions and the proprietary reasoning model known as OpenAI o1-mini. Furthermore, the EXAONE Deep 32B model competes effectively with top-tier open-weight models in the field. The accompanying repository offers extensive documentation that includes performance assessments, quick-start guides for leveraging EXAONE Deep models with the Transformers library, detailed explanations of quantized EXAONE Deep weights formatted in AWQ and GGUF, as well as guidance on how to run these models locally through platforms like llama.cpp and Ollama. Additionally, this resource serves to enhance user understanding and accessibility to the capabilities of EXAONE Deep models.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock
Amazon Bedrock AgentCore
Amazon Nova
Amazon Nova Forge
Amazon Web Services (AWS)
Ollama
OpenAI
OpenAI o1-mini

Integrations

Amazon Bedrock
Amazon Bedrock AgentCore
Amazon Nova
Amazon Nova Forge
Amazon Web Services (AWS)
Ollama
OpenAI
OpenAI o1-mini

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/nova/

Vendor Details

Company Name

LG

Founded

1947

Country

South Korea

Website

github.com/LG-AI-EXAONE/EXAONE-Deep

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