Synthetic data generators for structured and unstructured text, featuring differentially private learning. (by gretelai)

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gretel-synthetics reviews and mentions

Posts with mentions or reviews of gretel-synthetics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.
  • Ask HN: If we train an LLM with “data” instead of “language” tokens
    1 project | | 16 Aug 2023
    Hey there! Co-founder of here, and I think I can provide some insights on this topic.

    Firstly, the concept you're hinting at is not purely traditional ML. In traditional machine learning, we often prioritize feature extraction and engineering specific to a given problem space before training.

    What you're describing and what we've been working on at, is leveraging the power of models like Large Language Models (LLMs) to understand and extrapolate from vast amounts of diverse data without the need for time-consuming feature engineering. Here's a link to our open-source library for synthetic data generation (currently supporting GAN and RNN-based language models), and also our recent announcement around a Tabular LLM we're training to help people build with data

    A few areas where we've found tabular or Large Data Models to be really useful are:

  • Libraries for synthetic data?
    4 projects | /r/algotrading | 3 May 2023
    you can try QuantGAN: also try DoppelGANger
  • Which open source tool for generating synthetic data sets?
    1 project | /r/MLQuestions | 17 Oct 2022
  • Gretel-synthetics: open-source library to create synthetic datasets
    1 project | | 22 Feb 2021
  • A note from our sponsor - InfluxDB | 19 Jun 2024
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