VITA-Group/DP-OPT

[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

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Emerging

This project helps anyone working with large language models who needs to generate specific instructions or prompts for their models without compromising sensitive information. It takes your private data and automatically creates optimized prompts that maintain data privacy, even when used with cloud-based LLMs. Data scientists, machine learning engineers, and researchers can use this to get better results from LLMs while adhering to strict privacy regulations.

No commits in the last 6 months.

Use this if you need to fine-tune prompts for a large language model using sensitive, private data, but want to keep that data confidential and not send it to a third-party LLM provider.

Not ideal if your data is not sensitive and you are comfortable with traditional prompt engineering methods or sending your data directly to a cloud LLM provider for tuning.

data-privacy prompt-engineering large-language-models confidential-computing machine-learning-governance
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

47

Forks

10

Language

Python

License

MIT

Last pushed

May 30, 2024

Commits (30d)

0

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