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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
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
API Access
Has API
Screenshots View All
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Integrations
Liberate
Pricing Details
No price information available.
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
Meta
Founded
2004
Country
United States
Website
meta.com
Vendor Details
Company Name
Nextnet
Country
United States
Website
getnextnet.com/product/