[Video tutorial] Fine-tune LLM Models on Encrypted Data using Concrete ML

Concrete ML is a Privacy-Preserving Machine Learning set of tools that aims to simplify the use of Fully Homomorphic Encryption (FHE) for developers so they can automatically turn machine learning models into their homomorphic equivalent.

In this tutorial, Zama team member Celia Kherfallah, shows you how to build an encrypted DNA testing with FHE using Concrete ML.

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Additional links

• Star the Concrete ML Github repository to endorse our work.
• Review the Concrete ML documentation.
• Get support on our Community Forum.
• Help us advance the FHE space with the Zama Bounty Program.

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