Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Seed Diffusion Preview is an advanced language model designed for code generation that employs discrete-state diffusion, allowing it to produce code in a non-sequential manner, resulting in significantly faster inference times without compromising on quality. This innovative approach utilizes a two-stage training process that involves mask-based corruption followed by edit-based augmentation, enabling a standard dense Transformer to achieve an optimal balance between speed and precision while avoiding shortcuts like carry-over unmasking, which helps maintain rigorous density estimation. The model impressively achieves an inference rate of 2,146 tokens per second on H20 GPUs, surpassing current diffusion benchmarks while either matching or exceeding their accuracy on established code evaluation metrics, including various editing tasks. This performance not only sets a new benchmark for the speed-quality trade-off in code generation but also showcases the effective application of discrete diffusion methods in practical coding scenarios. Its success opens up new avenues for enhancing efficiency in coding tasks across multiple platforms.
Description
Mercury 3 is an innovative generative AI model offered by Inception, designed specifically for developers creating interactive applications. It employs a diffusion-based methodology to generate text concurrently, while also enabling streaming responses, tool utilization, structured outputs, and multimodal inputs that encompass text, images, and audio. By leveraging the Inception API, teams can implement it in various applications, such as conversational assistants, voice-driven platforms, search and browsing functionalities, tutoring solutions, and other responsive tasks that require dynamic generation. This powerful model is accessible through Inception's API and partnered inference providers, featuring compatibility with OpenAI's API for seamless integration into existing applications. Developers can assess the quality of the output and its latency before incorporating the model into their software, utilizing the comprehensive documentation provided with the API and SDK ecosystem. The service operates on a token-based usage system, offering a complimentary allocation along with paid rates for input and output tokens; enterprise-level options provide dedicated capacity and specialized support, ensuring flexibility and scalability for diverse projects. Ultimately, Mercury 3 empowers developers to harness advanced AI capabilities in their applications, streamlining the development process and enhancing user experiences.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Bedrock
No
AnyAPI
Yes
Baseten
No
C++
Yes
Citlyze
Yes
Flesk
Yes
Flyne AI
Yes
Fuser
Yes
Go
Yes
Java
Yes
Integrations
Amazon Bedrock
Yes
AnyAPI
No
Baseten
Yes
C++
No
Citlyze
No
Flesk
No
Flyne AI
No
Fuser
No
Go
No
Java
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0.10/1M input tokens
Launch pricing is $0.10 per million input tokens and $0.35 per million output tokens, 50% below standard rates of $0.20 and $0.70. A free allocation of 100 million tokens is available. Usage is token-metered; enterprise deployments offer dedicated capacity and priority support.
Free Trial
No
Free Version
Yes
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
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
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
ByteDance
Founded
2012
Country
China
Website
seed.bytedance.com/en/seed_diffusion
Vendor Details
Company Name
Inception
Founded
2024
Country
United States
Website
www.inceptionlabs.ai/models