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Average Ratings 0 Ratings
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
Avoid wasting your time sifting through various databases or stressing over different data formats and complex queries. Instead, focus on utilizing your intuition and specialized knowledge to unearth valuable insights and pursue intriguing scientific leads. We have developed Nextnet, a cutting-edge digital framework that harnesses the latest advancements in natural language processing, explainable artificial intelligence, software solutions, graph databases, and human-in-the-loop reinforcement learning to expedite scientific research and development. Our goal is to create the most extensive, human-curated reinforcement learning dataset to assess the interconnectedness of scientific topics. With Sapiens’ unified search interface, you can easily access and connect with knowledge scattered across multiple data sources. This allows you to not only search for familiar topics through a straightforward query but also to explore unfamiliar concepts through our advanced conceptual search within a persistent knowledge network. By leveraging these tools, researchers can enhance their understanding and drive innovation more effectively than ever before.
API Access
Has API
No
API Access
Has API
No
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Integrations
Liberate
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
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
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
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)
Yes
In Person
No
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
meta.com
Vendor Details
Company Name
Nextnet
Country
United States
Website
getnextnet.com/product/