LLMs That Unlock Healthcare Payer Analytics
Alivia Analytics’ Large Language Models (LLMs) are designed to transform the way healthcare payers manage and analyze data. Our advanced LLMs are built to unlock unstructured data stored within healthcare documents, enhancing the functionality of your analytics and electronic data warehouse (EDW).
Technical Specifications:
7 Billion or 70 Billion Parameters
Forked from Open Source
Our LLM is a customized version of our open-source AI, enhanced to meet the specific challenges faced by healthcare payers.
Use Cases:
Transform Your Data Management
Implementing Alivia’s LLM for Healthcare Payers Analytics can revolutionize your approach to data management, providing deeper insights and streamlining processes.
Unlock Unstructured Data
Many healthcare organizations struggle with unstructured data. Our LLMs unlock this data, turning it into valuable, actionable insights.
KEY FEATURES
Open Source AI
Alivia’s LLM uses open-source AI, providing flexibility and transparency to responsibly scale in our platform.
Highly Secure and Private
Data security is paramount. Our solution is designed with the highest standards of privacy and security, ensuring that sensitive healthcare data remains protected.
Proprietary Training
Our LLMs are trained on proprietary healthcare data sets, ensuring that they are tailored to meet the unique needs of healthcare payers.
Retrieval Augmented Generation (RAG)
This advanced feature enhances the model’s ability to generate accurate, context-aware responses by retrieving relevant data from your EDW in real-time.
Semantic Search
With semantic search capabilities, our LLM allows users to query and retrieve information in a more intuitive and context-driven manner.