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Description
Celeris-1 stands out as a swift and versatile language model platform, complemented by a diffusion model that achieves cutting-edge intelligence at unprecedented speeds. Unlike conventional autoregressive models that generate tokens sequentially, Celeris employs a diffusion-based inference architecture that allows for simultaneous generation, resulting in response times that can be measured in mere milliseconds. On the MMLU-Pro benchmark, Celeris-1 boasts an impressive accuracy of 75.9% while achieving a median response time of 158 milliseconds and producing an astonishing 1,664 output tokens per second, positioning it closely to leading models but operating over ten times faster. This powerful model is accessible through an API that is compatible with OpenAI, enabling developers to seamlessly integrate it into existing SDKs and applications with minimal modifications. Additionally, it supports streaming capabilities for real-time applications, allowing for response times as low as 24 milliseconds without any buffering or delays, making it an ideal choice for interactive use cases. Overall, Celeris-1 represents a significant advancement in the efficiency and performance of language models.
Description
Gemini Diffusion represents our cutting-edge research initiative aimed at redefining the concept of diffusion in the realm of language and text generation. Today, large language models serve as the backbone of generative AI technology. By employing a diffusion technique, we are pioneering a new type of language model that enhances user control, fosters creativity, and accelerates the text generation process. Unlike traditional models that predict text in a straightforward manner, diffusion models take a unique approach by generating outputs through a gradual refinement of noise. This iterative process enables them to quickly converge on solutions and make real-time corrections during generation. As a result, they demonstrate superior capabilities in tasks such as editing, particularly in mathematics and coding scenarios. Furthermore, by generating entire blocks of tokens simultaneously, they provide more coherent responses to user prompts compared to autoregressive models. Remarkably, the performance of Gemini Diffusion on external benchmarks rivals that of much larger models, while also delivering enhanced speed, making it a noteworthy advancement in the field. This innovation not only streamlines the generation process but also opens new avenues for creative expression in language-based tasks.
API Access
Has API
API Access
Has API
Pricing Details
$0.20 per 1M tokens
Free Trial
Free Version
Pricing Details
No price information available.
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
Celeris-1
Country
United States
Website
celeris.ai/
Vendor Details
Company Name
Google DeepMind
Founded
2010
Country
United Kingdom
Website
deepmind.google/models/gemini-diffusion/
Product Features
Product Features
Alternatives
No Alternatives