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What is Sky-T1?

Sky-T1-32B-Preview represents a groundbreaking open-source reasoning model developed by the NovaSky team at UC Berkeley's Sky Computing Lab. It achieves performance levels similar to those of proprietary models like o1-preview across a range of reasoning and coding tests, all while being created for under $450, emphasizing its potential to provide advanced reasoning skills at a lower cost. Fine-tuned from Qwen2.5-32B-Instruct, this model was trained on a carefully selected dataset of 17,000 examples that cover diverse areas, including mathematics and programming. The training was efficiently completed in a mere 19 hours with the aid of eight H100 GPUs using DeepSpeed Zero-3 offloading technology. Notably, every aspect of this project—spanning data, code, and model weights—is fully open-source, enabling both the academic and open-source communities to not only replicate but also enhance the model's functionalities. Such openness promotes a spirit of collaboration and innovation within the artificial intelligence research and development landscape, inviting contributions from various sectors. Ultimately, this initiative represents a significant step forward in making powerful AI tools more accessible to a wider audience.

What is Amazon Nova?

Amazon Nova signifies a groundbreaking advancement in foundation models (FMs), delivering sophisticated intelligence and exceptional price-performance ratios, exclusively accessible through Amazon Bedrock. The series features Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, each tailored to process text, image, or video inputs and generate text outputs, addressing varying demands for capability, precision, speed, and operational expenses. Amazon Nova Micro is a model centered on text, excelling in delivering quick responses at an incredibly low price point. On the other hand, Amazon Nova Lite is a cost-effective multimodal model celebrated for its rapid handling of image, video, and text inputs. Lastly, Amazon Nova Pro distinguishes itself as a powerful multimodal model that provides the best combination of accuracy, speed, and affordability for a wide range of applications, making it particularly suitable for tasks like video summarization, answering queries, and solving mathematical problems, among others. These innovative models empower users to choose the most suitable option for their unique needs while experiencing unparalleled performance levels in their respective tasks. This flexibility ensures that whether for simple text analysis or complex multimodal interactions, there is an Amazon Nova model tailored to meet every user's specific requirements.

Media

Media

Integrations Supported

Integrations Supported

Amazon Bedrock
Amazon Nova 2 Lite
Amazon Nova 2 Omni
Amazon Nova 2 Pro
Amazon Nova 2 Sonic
Amazon Nova Act
Amazon Nova Canvas
Amazon Nova Forge
Amazon Nova Lite
Amazon Nova Micro
Amazon Nova Premier
Amazon Nova Pro
Amazon Nova Reel
Amazon Nova Sonic
Amazon Web Services (AWS)
HelpNow Agentic AI Platform
MixTranslate
TypeThink
Vision Agents

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

NovaSky

Company Location

United States

Company Website

novasky-ai.github.io/posts/sky-t1/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ai/generative-ai/nova/

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Small Language Models

Not specified

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