Homepage
Open in app
Sign inGet started

Sarus Technologies

Privacy Layer for Analytics & AI

  • About
  • Sarus.tech
  • A Practical Method for Testing Differential Privacy

    A Practical Method for Testing Differential Privacy

    At Sarus, we build privacy-safe analytics tools, including an open-source library called Qrlew, designed to rewrite SQL queries into…
    Go to the profile of Andi Cuko
    Andi Cuko
    Jan 21
    Introducing DP-RAG

    Introducing DP-RAG

    Protecting Privacy in Retrieval-Augmented Generation
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    Jan 10
    Enhancing May App Service Quality while Safeguarding Patients’ Data

    Enhancing May App Service Quality while Safeguarding Patients’ Data

    Thanks to Differentially Private LLM Fine Tuning
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    Dec 6, 2024
    Go to the profile of Ian
    Ian
    Sep 26, 2024

    Retrieval Augmented Generation under Differential-Privacy

    Abstract

    Read more…
    Go to the profile of Luca Canale
    Luca Canale
    Jul 30, 2024

    LLM DP fine-tuning with Sarus in a Databricks workspace

    Read more…
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    Jul 26, 2024

    Fine-Tuning GPT-4o mini: Privacy not Included

    Fine-tuning is more accessible than ever, thanks to…

    Read more…
    Go to the profile of Luca Canale
    Luca Canale
    Jul 17, 2024

    Discovering new knowledge with Differential Privacy

    Read more…
    Go to the profile of Luca Canale
    Luca Canale
    Jul 11, 2024

    Fine-tuning Mistral 7B with QLoRA for new knowledge learning

    Read more…
    Go to the profile of Luca Canale
    Luca Canale
    Jul 5, 2024

    An open-source dataset to test LLM private knowledge understanding

    Read more…
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    Jun 28, 2024

    Generate Time-Series Data with Fine-Tuned Mistral 7B Instruct

    Small open-weights vs OpenAI API for…

    Read more…
    Go to the profile of Ian
    Ian
    Jun 11, 2024

    David vs. Goliath in AI

    Can Fine-Tuned Smaller Models like XLNet, DistilBERT and T5 Compete with Large…

    Read more…
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    May 31, 2024

    Quickly Generate Time-Series Synthetic Data with OpenAI’s Fine-Tuning API

    Read more…
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    May 27, 2024

    Deploying Sarus Arena on Azure AKS

    in three simple steps

    Read more…
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    May 27, 2024

    Easy PII replacement for OpenAI, Mistral and Anthropic APIs

    with Sarus Arena open-source application

    Read more…
    Go to the profile of Andi Cuko
    Andi Cuko
    Mar 25, 2024

    Qrlew, the library that turns any SQL query into a privacy-safe one

    Read more…
    Go to the profile of Johan Leduc
    Johan Leduc
    Jan 23, 2024

    How fine-tuned LLMs compete with commercial models ?

    In a previous post, we explored how fine-tuning a large language model (LLM) model compares with using a commercial service like OpenAI’s ChatGPT. We considered various factors such as cost and privacy. In this post, we will examine more…

    Read more…
    Go to the profile of Johan Leduc
    Johan Leduc
    Jan 23, 2024

    The LLM Dilemma: Self-Hosted vs. Public API Solutions

    In the field of artificial intelligence, Large Language Models (LLMs) are driving innovation and efficiency across various industries. With their growing importance, businesses and developers face a major decision: deploying self-hosted…

    Read more…
    Go to the profile of Johan Leduc
    Johan Leduc
    Oct 16, 2023

    How safe is the data used in LLM prompts?

    As the implementation of Large Language Models (LLMs) in production expands, they’re…

    Read more…
    Go to the profile of Victoria de Sainte Agathe
    Victoria de Sainte Agathe
    Oct 6, 2023

    Sarus Qrlew feature showcase: automatic range computation in the context of differentially private SQL

    Read more…
    Go to the profile of Luca Canale
    Luca Canale
    Oct 3, 2023

    LLMs have become excellent at memorizing: it’s a problem for privacy

    Read more…
    Go to the profile of Élodie Zanella
    Élodie Zanella
    Sep 28, 2023

    How to protect your private data when fine-tuning LLMs

    Read more…
    Go to the profile of Élodie Zanella
    Élodie Zanella
    Sep 27, 2023

    Privacy risks in LLM fine-tuning

    In our previous posts, we introduced the overarching privacy and security considerations of…

    Read more…
    Go to the profile of Élodie Zanella
    Élodie Zanella
    Sep 25, 2023

    The main privacy risks in GenAI projects and how to mitigate them

    Read more…
    Go to the profile of Luca Canale
    Luca Canale
    Sep 15, 2023

    How advances in Generative AI change the game for privacy protection

    Read more…
    Go to the profile of Élodie Zanella
    Élodie Zanella
    Jul 13, 2023

    [Product update] Sarus now integrates with Databricks!

    Read more…
    Go to the profile of Victoria de Sainte Agathe
    Victoria de Sainte Agathe
    May 16, 2023

    The protection of grouping keys in the context of differentially private SQL

    Read more…
    Go to the profile of Élodie Zanella
    Élodie Zanella
    Apr 20, 2023

    [Just released] AI-based synthetic data generator!

    A new Deep-Learning based synthetic data generator…

    Read more…
    Go to the profile of Nicolas Grislain
    Nicolas Grislain
    Apr 14, 2023

    ML with Differential Privacy using JAX and DP-SGD

    A tutorial on JAX: a great tool for DP-SGD

    Read more…
    About Sarus BlogLatest StoriesArchiveAbout MediumTermsPrivacyTeams