AI for Medicare Conversations
Comparing Fine-tuning vs. RAG for Medical Dialogues
Research evaluating LoRA fine-tuning against Retrieval-Augmented Generation (RAG) for developing robust doctor-patient conversational AI systems.
- Compared performance of Llama-2, GPT and other state-of-the-art LLMs
- Analyzed effectiveness across multiple medical domains
- Determined optimal approaches for accurate and compliant medical conversations
- Identified best practices for implementing AI in Medicare support systems
This research provides critical guidance for healthcare organizations seeking to deploy AI-assisted communication tools while maintaining medical accuracy and regulatory compliance.