Assessing the Quality of Synthetic Data with Data-centric AI

This page summarizes the projects mentioned and recommended in the original post on /r/ArtificialInteligence

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  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
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  • nist-crc-2023

    NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!

  • Data Quality is key for all applications and models, and LLMs are no exception :) I've been working on a small community project with synthetic data using ydata-synthetic, and it really shows! Underrepresentation (category imbalance) and missing data are two of the main issues!

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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