Ensuring Privacy for Any LLM with Patricia Thaine - 716
Today, we're joined by Patricia Thaine, co-founder and CEO of Private AI to discuss techniques for ensuring privacy, data minimization, and compliance when using 3rd-party large language models (LLMs) and other AI services. We explore the risks of data leakage from LLMs and embeddings, the complexities of identifying and redacting personal information across various data flows, and the approach Private AI has taken to mitigate these risks. We also dig into the challenges of entity recognition in multimodal systems including OCR files, documents, images, and audio, and the importance of data qu…
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Chapters (13)
Introduction
2:06
Private AI
3:32
Data flows
13:13
User requirements
14:06
Entity recognition
18:39
Warranties
19:43
Generalized model
20:42
Multilingual challenges
22:13
OCR
25:31
Synthetic data
28:06
Multimodality
37:44
Managing system and product scope
39:30
Data catalogs and MDM syste
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