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ml algorithm development process
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Classroom Contents
Leveraging Generative AI and Transformers in Healthcare - Anomaly Detection and Implementation
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- 1 intro
- 2 preamble
- 3 anomaly detection
- 4 the challenges we set out to solve
- 5 anomaly detection at a glance
- 6 ml algorithm development process
- 7 why data annotation?
- 8 data annotation...
- 9 a comprehensive ai impl journey
- 10 anomaly identification framework
- 11 machine learning model framework - continuous training for optimized performance
- 12 llm + guardrails
- 13 challenges in bert models
- 14 generative ai and prompt engineering
- 15 gen ai - llm's approach
- 16 thank you