Advanced Lecture Series: Large Language Models with Medical Data Science
Machine Learning Course Slides
Instructor: Ho-min Park
📧
[email protected]
📧
[email protected]
Course Lectures
Lecture 01
Medical LLMs - Landscape and Applications
Lecture 02
Medical Data Preprocessing and Curation
Lecture 03
Retrieval-Augmented Generation (RAG) for Healthcare
Lecture 04
Fine-tuning Strategies for Medical LLMs
Lecture 05
Evaluation Metrics and Medical Benchmarks
Lecture 06
Chain-of-Thought for Clinical Reasoning
Lecture 07
Agentic AI in Healthcare Systems
Lecture 08
Constitutional AI and Medical Ethics
Lecture 09
Few-Shot and Zero-Shot Medical Applications
Lecture 10
Multimodal Medical Intelligence
Lecture 11
Reinforcement Learning from Human Feedback (RLHF)
Lecture 12
Knowledge Distillation and Model Compression
Lecture 13
Federated Learning for Medical LLMs
Lecture 14
Continuous Learning and Model Updates
Lecture 15
Interpretability and Explainable Medical AI
Lecture 16
Production Systems and MLOps
Lecture 17
Real-World Case Studies
Lecture 18
Emerging Architectures and Techniques
Lecture 19
Regulatory and Legal Frameworks
Lecture 20
Capstone Project - Building a Medical AI System
📚 Practical Materials
📓
Lecture 01
Medical LLMs - Landscape and Applications
📓
Lecture 02
Medical Data Preprocessing and Curation
📓
Lecture 03
Retrieval-Augmented Generation (RAG) for Healthcare
📓
Lecture 04
Fine-tuning Strategies for Medical LLMs
📓
Lecture 05
Evaluation Metrics and Medical Benchmarks
📓
Lecture 06
Chain-of-Thought for Clinical Reasoning
📓
Lecture 07
Agentic AI in Healthcare Systems
📓
Lecture 08
Constitutional AI and Medical Ethics
📓
Lecture 09
Few-Shot and Zero-Shot Medical Applications
📓
Lecture 10
Multimodal Medical Intelligence
📓
Lecture 11
Reinforcement Learning from Human Feedback (RLHF)
📓
Lecture 12
Knowledge Distillation and Model Compression
📓
Lecture 13
Federated Learning for Medical LLMs
📓
Lecture 14
Continuous Learning and Model Updates
📓
Lecture 15
Interpretability and Explainable Medical AI
📓
Lecture 16
Production Systems and MLOps
📓
Lecture 17
Real-World Case Studies
📓
Lecture 18
Emerging Architectures and Techniques
📓
Lecture 19
Regulatory and Legal Frameworks
📓
Lecture 20
Capstone Project - Building a Medical AI System