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Description
The overwhelming amount of information available poses a significant challenge to advancements in science. With the rapid expansion of scientific literature and data, pinpointing valuable insights within this vast sea of information has become increasingly difficult. Nowadays, people rely on search engines to access scientific knowledge, yet these tools alone cannot effectively categorize and organize this complex information.
Galactica is an advanced language model designed to capture, synthesize, and analyze scientific knowledge. It is trained on a diverse array of scientific materials, including research papers, reference texts, knowledge databases, and other relevant resources. In various scientific tasks, Galactica demonstrates superior performance compared to existing models. For instance, on technical knowledge assessments involving LaTeX equations, Galactica achieves a score of 68.2%, significantly higher than the 49.0% of the latest GPT-3 model. Furthermore, Galactica excels in reasoning tasks, outperforming Chinchilla in mathematical MMLU with scores of 41.3% to 35.7%, and surpassing PaLM 540B in MATH with a notable 20.4% compared to 8.8%. This indicates that Galactica not only enhances accessibility to scientific information but also improves our ability to reason through complex scientific queries.
Description
Quosera features a sleek and contemporary design developed with Twitter's Bootstrap framework, which is familiar to many designers. Its backend utilizes a well-known M-V-C architecture, allowing for easy functional customization of the application. By utilizing oembed, users can effortlessly incorporate rich media content into their questions and answers by simply pasting links from platforms like YouTube, Facebook, and Twitter. This means that users can enhance their contributions with various rich media URLs, such as those from YouTube videos, Twitter posts, and Soundcloud audio clips. Quosera employs iframes to effectively manage the integration of this rich media. Additionally, the Quosera editor is equipped to handle mathematical and scientific equations through MathJax, making it an ideal choice for academic and research institutions. Users can input equations in TeX, MathML, or ASCIImath formats, providing versatility in how they present their mathematical content. Overall, Quosera stands out as a powerful tool for those looking to blend rich media with academic rigor.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$99 one-time payment
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
Meta
Founded
2004
Country
United States
Website
meta.com
Vendor Details
Company Name
Sopan Technologies
Founded
2011
Country
India
Website
www.quosera.com
Product Features
Product Features
Knowledge Management
Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal