Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ESMFold demonstrates how artificial intelligence can equip us with innovative instruments to explore the natural world, akin to the way the microscope revolutionized our perception by allowing us to observe the minute details of life. Through AI, we can gain a fresh perspective on the vast array of biological diversity, enhancing our comprehension of life sciences. A significant portion of AI research has been dedicated to enabling machines to interpret the world in a manner reminiscent of human understanding. However, the complex language of proteins remains largely inaccessible to humans and has proven challenging for even the most advanced computational systems. Nevertheless, AI holds the promise of unlocking this intricate language, facilitating our grasp of biological processes. Exploring AI within the realm of biology not only enriches our understanding of life sciences but also sheds light on the broader implications of artificial intelligence itself. Our research highlights the interconnectedness of various fields: the large language models powering advancements in machine translation, natural language processing, speech recognition, and image synthesis also possess the capability to assimilate profound insights about biological systems. This cross-disciplinary approach could pave the way for unprecedented discoveries in both AI and biology.
Description
John Snow Labs has developed a sophisticated large language model (LLM) specifically for the medical field, aimed at transforming how healthcare organizations utilize artificial intelligence. This groundbreaking platform is designed exclusively for healthcare professionals, merging state-of-the-art natural language processing (NLP) abilities with an in-depth comprehension of medical language, clinical processes, and compliance standards. Consequently, it serves as an essential resource that empowers healthcare providers, researchers, and administrators to gain valuable insights, enhance patient care, and increase operational effectiveness. Central to the Healthcare LLM is its extensive training on a diverse array of healthcare-related materials, which includes clinical notes, academic research, and regulatory texts. This targeted training equips the model to proficiently understand and produce medical language, making it a crucial tool for various applications such as clinical documentation, automated coding processes, and medical research initiatives. Furthermore, its capabilities extend to streamlining workflows, thereby allowing healthcare professionals to focus more on patient care rather than administrative tasks.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Databricks
Databricks
Defog
FLAN-T5
GPT-3.5
GPT-4
Llama 2
Microsoft Azure
Integrations
Amazon Web Services (AWS)
Apache Spark
Azure Databricks
Databricks
Defog
FLAN-T5
GPT-3.5
GPT-4
Llama 2
Microsoft Azure
Pricing Details
Free
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
github.com/facebookresearch/esm
Vendor Details
Company Name
John Snow Labs
Country
United States
Website
www.johnsnowlabs.com/healthcare-llm/