Explore how leading healthcare companies are addressing privacy concerns in the era of Large Language Models (LLMs) and analytics in this 18-minute conference talk sponsored by Skyflow. Delve into the challenges and implications of sharing healthcare and patient data with generative AI models, which learn and remember everything but don't unlearn. Learn from industry experts Anshu Sharma, Co-founder & CEO of Skyflow, and Nitin Shingate, CTO of GoodRx Inc, as they draw on their extensive experience in product and engineering at organizations like Salesforce and GoodRx. Discover how prominent healthcare organizations are leveraging Skyflow to establish robust privacy guardrails, ensuring that no personally identifiable information (PII) or other sensitive data is leaked. Gain insights into strategies for controlling data access and maintaining stringent data privacy and security in healthcare AI applications. For further exploration, access the LLM Compact Guide and Big Book of MLOps through the provided links.
Overview
Syllabus
Sponsored by: Skyflow | How Leading Healthcare Companies Ensure Privacy for LLMs and Analytics
Taught by
Databricks
Related Courses
-
Information Technologies and Security in Healthcare Settings
-
Risk Management and Risk Assessment in a Healthcare Setting
-
The ChatGPT Privacy Tango - Dancing with Data Security and Large Language Models
-
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models
-
Machine Unlearning - Addressing Bias, Privacy, and Regulation in LLMs and Multimodal Models
-
Can LLMs Keep a Secret? - Privacy and Security in Large Language Models
