repeat_or

Great question! Short answer is that Gretel supports multiple deployment options, depending on your specific circumstances and needs. If you want a more detailed technical answer, I recommend joining our Discord and asking there. One of our engineers will follow up. Hope that's helpful! https://grtl.ai/discord

This enables organizations to generate high-quality synthetic databases while preserving cross-table relationships.

If you’re a Vertex AI user, here’s how you can utilize Gretel to create high-quality synthetic tabular data that you can use as training data for a classification model.

Gretel introduces Reinforcement Learning from Privacy Feedback (RLPF), a method that can be used to align large language models (LLMs) to improve generative quality while also making them more privacy-preserving. Language models leaking proprietary data or custom prompts is a problem that's currently plaguing many generative AI applications. We propose RLPF to mitigate some of these issues. We also suggest future directions to reduce bias, discrimination, and other harmful characteristics that might exist in today’s language models.

"...a brushstroke of code on a palette of pixels"

In case you missed it, several sessions for _synthesize2023 were announced this week. This event is free and open to all who are interested in learning about state-of-the-art applications for synthetic data and generative AI.

Here are some of the speaker highlights:

- Keynote speaker: Sridhar Ramaswamy, CEO and Cofounder at Neeva and n.xyz, former SVP of Engineering and Ads at Google

- Google research scientist Peter Kairouz will discuss how privacy-enhancing technologies (PETs) like synthetic data and federated learning are helping advance the science and safe application of foundation models.

- Illumina's Senior Director of Emerging Solutions, Pam Cheng, will highlight how synthetic data enables medical and life science research and product development.

- NVIDIA product manager Nyla Worker will demonstrate how to train a perception model, an SDK for creating 3D synthetic data.

You can see the full event program and register to attend here: https://gretel.ai/synthesize2023

Data sharing is central to modern business but entails risks. Synthetic data can enable data sharing while reducing the risk of privacy-compromising linkage attacks.

A live developer event that's covering:

- Performance metrics for evaluating the quality of data - How to interpret data quality scores - Use cases for both low fidelity and high fidelity synthetic data