Explore the application of generative AI and transformers in healthcare through this conference talk from Conf42 Python 2024. Delve into anomaly detection techniques, challenges in healthcare AI implementation, and the importance of data annotation. Learn about comprehensive AI implementation journeys, anomaly identification frameworks, and continuous training for optimized machine learning model performance. Discover the integration of Large Language Models (LLMs) with guardrails, challenges in BERT models, and the approach of generative AI in healthcare applications. Gain insights into prompt engineering and the potential of AI to revolutionize healthcare practices.
Leveraging Generative AI and Transformers in Healthcare - Anomaly Detection and Implementation
Overview
Syllabus
intro
preamble
anomaly detection
the challenges we set out to solve
anomaly detection at a glance
ml algorithm development process
why data annotation?
data annotation...
a comprehensive ai impl journey
anomaly identification framework
machine learning model framework - continuous training for optimized performance
llm + guardrails
challenges in bert models
generative ai and prompt engineering
gen ai - llm's approach
thank you
Taught by
Conf42
