Cover Image for AI breaks Privacy: How PrivateGPT Fixes It

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meetups for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.

This meetup is sponsored by Zilliz.

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AI breaks Privacy: How PrivateGPT Fixes It

Unstructured Data Meetup

Zoom

Past Event

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About Event

About the session

When dealing with AI tools, compliance might be a risk due to platforms storing your prompts and documents, leading to data leaks. You are responsible for ensuring your organization’s use of AI complies with data privacy regulations.

PrivateGPT is an open-source project boasting 53K Github stars and a Discord community of over 5K people. It provides a versatile framework for creating context-aware GenAI applications with privacy at core, offering a default API for common tasks and the flexibility to customize for specific applications attending to their privacy needs.

Topics covered:

The different levels of Privacy you can find in B2B AI products.
The functionalities PrivateGPT provides from a developer point of view.
How to leverage PrivateGPT to ensure your organization’s use of AI complies with data privacy regulations depending on the privacy level required by covering different setups.

Speaker: Daniel Gallego Vico, Co-Founder of Zylon & PrivateGPT